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# Change Log for SD.Next
## Update for 2023-12-09
*Note*: based on `diffusers==0.25.0.dev0`
- **Diffusers**
- **AnimateDiff** can now be used with *second pass* - enhance, upscale and hires your videos!
- **IP Adapter** add support for `ip-adapter-plus_sd15`, `ip-adapter-plus-face_sd15` and `ip-adapter-full-face_sd15`
additionally, ip-adapter can now be used in xyz-grid
- **HDR controls** are now batch-aware for enhancement of multiple images or video frames
- [Playground v1](https://huggingface.co/playgroundai/playground-v1), [Playground v2 256](https://huggingface.co/playgroundai/playground-v2-256px-base), [Playground v2 512](https://huggingface.co/playgroundai/playground-v2-512px-base), [Playground v2 1024](https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic) model support
- simply select from *networks -> reference* and use as usual
- [DemoFusion](https://github.com/PRIS-CV/DemoFusion) run your SDXL generations at any resolution!
- in **Text** tab select *script* -> *demofusion*
- *note*: GPU VRAM limits do not automatically go away so be careful when using it with large resolutions
in the future, expect more optimizations, especially related to offloading/slicing/tiling,
but at the moment this is pretty much experimental-only
- [ModelScope T2V](https://huggingface.co/damo-vilab/text-to-video-ms-1.7b) model support
- simply select from *networks -> reference* and use from *txt2img* tab
- **Schedulers**
- add timesteps range, changing it will make scheduler to be over-complete or under-complete
- add rescale betas with zero SNR option (applicable to Euler and DDIM, allows for higher dynamic range)
- **General**
- **Process** create videos from batch or folder processing
supports *GIF*, *PNG* and *MP4* with full interpolation, scene change detection, etc.
- **LoRA**
- add support for block weights, thanks @AI-Casanova
example `<lora:SDXL_LCM_LoRA:1.0:in=0:mid=1:out=0>`
- reintroduce alternative loading method in settings: `lora_force_diffusers`
- add support for `lora_fuse_diffusers` if using alternative method
use if you have multiple complex loras that may be causing performance degradation
as it fuses lora with model during load instead of interpreting lora on-the-fly
- **CivitAI downloader** allow usage of access tokens for download of gated or private models
- **Extra networks** new *settting -> extra networks -> build info on first access*
indexes all networks on first access instead of server startup
- **Ipex** improvements, thanks @disty0
- disable google fonts check on server startup
- fix torchvision/basicsr compatibility
- fix extra networks sort
- add hdr settings to metadata
- improve handling of long filenames and filenames during batch processing
- update built-in log monitor in ui, thanks @midcoastal
## Update for 2023-12-04
What's new? Native video in SD.Next via both **AnimateDiff** and **Stable-Video-Diffusion** - and including native MP4 encoding and smooth video outputs out-of-the-box, not just animated-GIFs.
Also new is support for **SDXL-Turbo** as well as new **Kandinsky 3** models and cool latent correction via **HDR controls** for any *txt2img* workflows, best-of-class **SDXL model merge** using full ReBasin methods and further mobile UI optimizations.
- **Diffusers**
- **IP adapter**
- lightweight native implementation of T2I adapters which can guide generation towards specific image style
- supports most T2I models, not limited to SD 1.5
- models are auto-downloaded on first use
- for IP adapter support in *Original* backend, use standard *ControlNet* extension
- **AnimateDiff**
- lightweight native implementation of AnimateDiff models:
*AnimateDiff 1.4, 1.5 v1, 1.5 v2, AnimateFace*
- supports SD 1.5 only
- models are auto-downloaded on first use
- for video saving support, see video support section
- can be combined with IP-Adapter for even better results!
- for AnimateDiff support in *Original* backend, use standard *AnimateDiff* extension
- **HDR latent control**, based on [article](https://huggingface.co/blog/TimothyAlexisVass/explaining-the-sdxl-latent-space#long-prompts-at-high-guidance-scales-becoming-possible)
- in *Advanced* params
- allows control of *latent clamping*, *color centering* and *range maximimization*
- supported by *XYZ grid*
- [SD21 Turbo](https://huggingface.co/stabilityai/sd-turbo) and [SDXL Turbo](<https://huggingface.co/stabilityai/sdxl-turbo>) support
- just set CFG scale (0.0-1.0) and steps (1-3) to a very low value
- compatible with original StabilityAI SDXL-Turbo or any of the newer merges
- download safetensors or select from networks -> reference
- [Stable Video Diffusion](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid) and [Stable Video Diffusion XT](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt) support
- download using built-in model downloader or simply select from *networks -> reference*
support for manually downloaded safetensors models will be added later
- for video saving support, see video support section
- go to *image* tab, enter input image and select *script* -> *stable video diffusion*
- [Kandinsky 3](https://huggingface.co/kandinsky-community/kandinsky-3) support
- download using built-in model downloader or simply select from *networks -> reference*
- this model is absolutely massive at 27.5GB at fp16, so be patient
- model params count is at 11.9B (compared to SD-XL at 3.3B) and its trained on mixed resolutions from 256px to 1024px
- use either model offload or sequential cpu offload to be able to use it
- better autodetection of *inpaint* and *instruct* pipelines
- support long seconary prompt for refiner
- **Video support**
- applies to any model that supports video generation, e.g. AnimateDiff and StableVideoDiffusion
- support for **animated-GIF**, **animated-PNG** and **MP4**
- GIF and PNG can be looped
- MP4 can have additional padding at the start/end as well as motion-aware interpolated frames for smooth playback
interpolation is done using [RIFE](https://arxiv.org/abs/2011.06294) with native implementation in SD.Next
And its fast - interpolation from 16 frames with 10x frames to target 160 frames results takes 2-3sec
- output folder for videos is in *settings -> image paths -> video*
- **General**
- redesigned built-in profiler
- now includes both `python` and `torch` and traces individual functions
- use with `--debug --profile`
- **model merge** add **SD-XL ReBasin** support, thanks @AI-Casanova
- further UI optimizations for **mobile devices**, thanks @iDeNoh
- log level defaults to info for console and debug for log file
- better prompt display in process tab
- increase maximum lora cache values
- fix extra networks sorting
- fix controlnet compatibility issues in original backend
- fix img2img/inpaint paste params
- fix save text file for manually saved images
- fix python 3.9 compatibility issues
## Update for 2023-11-23
New release, primarily focused around three major new features: full **LCM** support, completely new **Model Merge** functionality and **Stable-fast** compile support
Also included are several other improvements and large number of hotfixes - see full changelog for details
- **Diffusers**
- **LCM** support for any *SD 1.5* or *SD-XL* model!
- download [lcm-lora-sd15](https://huggingface.co/latent-consistency/lcm-lora-sdv1-5/tree/main) and/or [lcm-lora-sdxl](https://huggingface.co/latent-consistency/lcm-lora-sdxl/tree/main)
- load for favorite *SD 1.5* or *SD-XL* model *(original LCM was SD 1.5 only, this is both)*
- load **lcm lora** *(note: lcm lora is processed differently than any other lora)*
- set **sampler** to **LCM**
- set number of steps to some low number, for SD-XL 6-7 steps is normally sufficient
note: LCM scheduler does not support steps higher than 50
- set CFG to between 1 and 2
- Add `cli/lcm-convert.py` script to convert any SD 1.5 or SD-XL model to LCM model
by baking in LORA and uploading to Huggingface, thanks @Disty0
- Support for [Stable Fast](https://github.com/chengzeyi/stable-fast) model compile on *Windows/Linux/WSL2* with *CUDA*
See [Wiki:Benchmark](https://github.com/vladmandic/automatic/wiki/Benchmark) for details and comparisment
of different backends, precision modes, advanced settings and compile modes
*Hint*: **70+ it/s** is possible on *RTX4090* with no special tweaks
- Add additional pipeline types for manual model loads when loading from `safetensors`
- Updated logic for calculating **steps** when using base/hires/refiner workflows
- Improve **model offloading** for both model and sequential cpu offload when dealing with meta tensors
- Safe model offloading for non-standard models
- Fix **DPM SDE** scheduler
- Better support for SD 1.5 **inpainting** models
- Add support for **OpenAI Consistency decoder VAE**
- Enhance prompt parsing with long prompts and support for *BREAK* keyword
Change-in-behavior: new line in prompt now means *BREAK*
- Add alternative Lora loading algorithm, triggered if `SD_LORA_DIFFUSERS` is set
- **Models**
- **Model merge**
- completely redesigned, now based on best-of-class `meh` by @s1dlx
and heavily modified for additional functionality and fully integrated by @AI-Casanova (thanks!)
- merge SD or SD-XL models using *simple merge* (12 methods),
using one of *presets* (20 built-in presets) or custom block merge values
- merge with ReBasin permuatations and/or clipping protection
- fully multithreaded for fastest merge possible
- **Model update**
- under UI -> Models - Update
- scan existing models for updated metadata on CivitAI and
provide download functionality for models with available
- **Extra networks**
- Use multi-threading for 5x load speedup
- Better Lora trigger words support
- Auto refresh styles on change
- **General**
- Many **mobile UI** optimizations, thanks @iDeNoh
- Support for **Torch 2.1.1** with CUDA 12.1 or CUDA 11.8
- Configurable location for HF cache folder
Default is standard `~/.cache/huggingface/hub`
- Reworked parser when pasting previously generated images/prompts
includes all `txt2img`, `img2img` and `override` params
- Reworked **model compile**
- Support custom upscalers in subfolders
- Add additional image info when loading image in process tab
- Better file locking when sharing config and/or models between multiple instances
- Handle custom API endpoints when using auth
- Show logged in user in log when accessing via UI and/or API
- Support `--ckpt none` to skip loading a model
- **XYZ grid**
- Add refiner options to XYZ Grid
- Add option to create only subgrids in XYZ grid, thanks @midcoastal
- Allow custom font, background and text color in settings
- **Fixes**
- Fix `params.txt` saved before actual image
- Fix inpaint
- Fix manual grid image save
- Fix img2img init image save
- Fix upscale in txt2img for batch counts when no hires is used
- More uniform models paths
- Safe scripts callback execution
- Improved extension compatibility
- Improved BF16 support
- Match previews for reference models with downloaded models
## Update for 2023-11-06
Another pretty big release, this time with focus on new models (3 new model types), new backends and optimizations
Plus quite a few fixes
Also, [Wiki](https://github.com/vladmandic/automatic/wiki) has been updated with new content, so check it out!
Some highlights: [OpenVINO](https://github.com/vladmandic/automatic/wiki/OpenVINO), [IntelArc](https://github.com/vladmandic/automatic/wiki/Intel-ARC), [DirectML](https://github.com/vladmandic/automatic/wiki/DirectML), [ONNX/Olive](https://github.com/vladmandic/automatic/wiki/ONNX-Olive)
- **Diffusers**
- since now **SD.Next** supports **12** different model types, we've added reference model for each type in
*Extra networks -> Reference* for easier select & auto-download
Models can still be downloaded manually, this is just a convenience feature & a showcase for supported models
- new model type: [Segmind SSD-1B](https://huggingface.co/segmind/SSD-1B)
its a *distilled* model trained at 1024px, this time 50% smaller and faster version of SD-XL!
(and quality does not suffer, its just more optimized)
test shows batch-size:4 with 1k images at full quality used less than 6.5GB of VRAM
and for further optimization, you can use built-in **TAESD** decoder,
which results in batch-size:16 with 1k images using 7.9GB of VRAM
select from extra networks -> reference or download using built-in **Huggingface** downloader: `segmind/SSD-1B`
- new model type: [Pixart-α XL 2](https://github.com/PixArt-alpha/PixArt-alpha)
in medium/512px and large/1024px variations
comparable in quality to SD 1.5 and SD-XL, but with better text encoder and highly optimized training pipeline
so finetunes can be done in as little as 10% compared to SD/SD-XL (note that due to much larger text encodeder, it is a large model)
select from extra networks -> reference or download using built-in **Huggingface** downloader: `PixArt-alpha/PixArt-XL-2-1024-MS`
- new model type: [LCM: Latent Consistency Models](https://github.com/openai/consistency_models)
trained at 512px, but with near-instant generate in a as little as 3 steps!
combined with OpenVINO, generate on CPU takes less than 5-10 seconds: <https://www.youtube.com/watch?v=b90ESUTLsRo>
and absolute beast when combined with **HyperTile** and **TAESD** decoder resulting in **28 FPS**
(on RTX4090 for batch 16x16 at 512px)
note: set sampler to **Default** before loading model as LCM comes with its own *LCMScheduler* sampler
select from extra networks -> reference or download using built-in **Huggingface** downloader: `SimianLuo/LCM_Dreamshaper_v7`
- support for **Custom pipelines**, thanks @disty0
download using built-in **Huggingface** downloader
think of them as plugins for diffusers not unlike original extensions that modify behavior of `ldm` backend
list of community pipelines: <https://github.com/huggingface/diffusers/blob/main/examples/community/README.md>
- new custom pipeline: `Disty0/zero123plus-pipeline`, thanks @disty0
generate 4 output images with different camera positions: front, side, top, back!
for more details, see <https://github.com/vladmandic/automatic/discussions/2421>
- new backend: **ONNX/Olive** *(experimental)*, thanks @lshqqytiger
for details, see [WiKi](https://github.com/vladmandic/automatic/wiki/ONNX-Runtime)
- extend support for [Free-U](https://github.com/ChenyangSi/FreeU)
improve generations quality at no cost (other than finding params that work for you)
- **General**
- attempt to auto-fix invalid samples which occure due to math errors in lower precision
example: `RuntimeWarning: invalid value encountered in cast: sample = sample.astype(np.uint8)`
begone **black images** *(note: if it proves as working, this solution will need to be expanded to cover all scenarios)*
- add **Lora OFT** support, thanks @antis0007 and @ai-casanova
- **Upscalers**
- **compile** option, thanks @disty0
- **chaiNNer** add high quality models from [Helaman](https://openmodeldb.info/users/helaman)
- redesigned **Progress bar** with full details on current operation
- new option: *settings -> images -> keep incomplete*
can be used to skip vae decode on aborted/skipped/interrupted image generations
- new option: *settings -> system paths -> models*
can be used to set custom base path for *all* models (previously only as cli option)
- remove external clone of items in `/repositories`
- **Interrogator** module has been removed from `extensions-builtin`
and fully implemented (and improved) natively
- **UI**
- UI tweaks for default themes
- UI switch core font in default theme to **noto-sans**
previously default font was simply *system-ui*, but it lead to too much variations between browsers and platforms
- UI tweaks for mobile devices, thanks @iDeNoh
- updated **Context menu**
right-click on any button in action menu (e.g. generate button)
- **Extra networks**
- sort by name, size, date, etc.
- switch between *gallery* and *list* views
- add tags from user metadata (in addition to tags in model metadata) for **lora**
- added **Reference** models for diffusers backend
- faster enumeration of all networks on server startup
- **Packages**
- updated `diffusers` to 0.22.0, `transformers` to 4.34.1
- update **openvino**, thanks @disty0
- update **directml**, @lshqqytiger
- **Compute**
- **OpenVINO**:
- updated to mainstream `torch` *2.1.0*
- support for **ESRGAN** upscalers
- **Fixes**
- fix **freeu** for backend original and add it to xyz grid
- fix loading diffuser models in huggingface format from non-standard location
- fix default styles looking in wrong location
- fix missing upscaler folder on initial startup
- fix handling of relative path for models
- fix simple live preview device mismatch
- fix batch img2img
- fix diffusers samplers: dpm++ 2m, dpm++ 1s, deis
- fix new style filename template
- fix image name template using model name
- fix image name sequence
- fix model path using relative path
- fix safari/webkit layour, thanks @eadnams22
- fix `torch-rocm` and `tensorflow-rocm` version detection, thanks @xangelix
- fix **chainner** upscalers color clipping
- fix for base+refiner workflow in diffusers mode: number of steps, diffuser pipe mode
- fix for prompt encoder with refiner in diffusers mode
- fix prompts-from-file saving incorrect metadata
- fix add/remove extra networks to prompt
- fix before-hires step
- fix diffusers switch from invalid model
- force second requirements check on startup
- remove **lyco**, multiple_tqdm
- enhance extension compatibility for exensions directly importing codeformers
- enhance extension compatibility for exensions directly accessing processing params
- **css** fixes
- clearly mark external themes in ui
- update `typing-extensions`
## Update for 2023-10-17
This is a major release, with many changes and new functionality...
Changelog is massive, but do read through or you'll be missing on some very cool new functionality
or even free speedups and quality improvements (regardless of which workflows you're using)!
Note that for this release its recommended to perform a clean install (e.g. fresh `git clone`)
Upgrades are still possible and supported, but clean install is recommended for best experience
- **UI**
- added **change log** to UI
see *System -> Changelog*
- converted submenus from checkboxes to accordion elements
any ui state including state of open/closed menus can be saved as default!
see *System -> User interface -> Set menu states*
- new built-in theme **invoked**
thanks @BinaryQuantumSoul
- add **compact view** option in settings -> user interface
- small visual indicator bottom right of page showing internal server job state
- **Extra networks**:
- **Details**
- new details interface to view and save data about extra networks
main ui now has a single button on each en to trigger details view
- details view includes model/lora metadata parser!
- details view includes civitai model metadata!
- **Metadata**:
- you can scan [civitai](https://civitai.com/)
for missing metadata and previews directly from extra networks
simply click on button in top-right corner of extra networks page
- **Styles**
- save/apply icons moved to extra networks
- can be edited in details view
- support for single or multiple styles per json
- support for embedded previews
- large database of art styles included by default
can be disabled in *settings -> extra networks -> show built-in*
- styles can also be used in a prompt directly: `<style:style_name>`
if style if an exact match, it will be used
otherwise it will rotate between styles that match the start of the name
that way you can use different styles as wildcards when processing batches
- styles can have **extra** fields, not just prompt and negative prompt
for example: *"Extra: sampler: Euler a, width: 480, height: 640, steps: 30, cfg scale: 10, clip skip: 2"*
- **VAE**
- VAEs are now also listed as part of extra networks
- Image preview methods have been redesigned: simple, approximate, taesd, full
please set desired preview method in settings
- both original and diffusers backend now support "full quality" setting
if you desired model or platform does not support FP16 and/or you have a low-end hardware and cannot use FP32
you can disable "full quality" in advanced params and it will likely reduce decode errors (infamous black images)
- **LoRA**
- LoRAs are now automatically filtered based on compatibility with currently loaded model
note that if lora type cannot be auto-determined, it will be left in the list
- **Refiner**
- you can load model from extra networks as base model or as refiner
simply select button in top-right of models page
- **General**
- faster search, ability to show/hide/sort networks
- refactored subfolder handling
*note*: this will trigger model hash recaclulation on first model use
- **Diffusers**:
- better pipeline **auto-detect** when loading from safetensors
- **SDXL Inpaint**
- although any model can be used for inpainiting, there is a case to be made for
dedicated inpainting models as they are tuned to inpaint and not generate
- model can be used as base model for **img2img** or refiner model for **txt2img**
To download go to *Models -> Huggingface*:
- `diffusers/stable-diffusion-xl-1.0-inpainting-0.1` *(6.7GB)*
- **SDXL Instruct-Pix2Pix**
- model can be used as base model for **img2img** or refiner model for **txt2img**
this model is massive and requires a lot of resources!
to download go to *Models -> Huggingface*:
- `diffusers/sdxl-instructpix2pix-768` *(11.9GB)*
- **SD Latent Upscale**
- you can use *SD Latent Upscale* models as **refiner models**
this is a bit experimental, but it works quite well!
to download go to *Models -> Huggingface*:
- `stabilityai/sd-x2-latent-upscaler` *(2.2GB)*
- `stabilityai/stable-diffusion-x4-upscaler` *(1.7GB)*
- better **Prompt attention**
should better handle more complex prompts
for sdxl, choose which part of prompt goes to second text encoder - just add `TE2:` separator in the prompt
for hires and refiner, second pass prompt is used if present, otherwise primary prompt is used
new option in *settings -> diffusers -> sdxl pooled embeds*
thanks @AI-Casanova
- better **Hires** support for SD and SDXL
- better **TI embeddings** support for SD and SDXL
faster loading, wider compatibility and support for embeddings with multiple vectors
information about used embedding is now also added to image metadata
thanks @AI-Casanova
- better **Lora** handling
thanks @AI-Casanova
- better **SDXL preview** quality (approx method)
thanks @BlueAmulet
- new setting: *settings -> diffusers -> force inpaint*
as some models behave better when in *inpaint* mode even for normal *img2img* tasks
- **Upscalers**:
- pretty much a rewrite and tons of new upscalers - built-in list is now at **42**
- fix long outstanding memory leak in legacy code, amazing this went undetected for so long
- more high quality upscalers available by default
**SwinIR** (2), **ESRGAN** (12), **RealESRGAN** (6), **SCUNet** (2)
- if that is not enough, there is new **chaiNNer** integration:
adds 15 more upscalers from different families out-of-the-box:
**HAT** (6), **RealHAT** (2), **DAT** (1), **RRDBNet** (1), **SPSRNet** (1), **SRFormer** (2), **SwiftSR** (2)
and yes, you can download and add your own, just place them in `models/chaiNNer`
- two additional latent upscalers based on SD upscale models when using Diffusers backend
**SD Upscale 2x**, **SD Upscale 4x***
note: Recommended usage for *SD Upscale* is by using second pass instead of upscaler
as it allows for tuning of prompt, seed, sampler settings which are used to guide upscaler
- upscalers are available in **xyz grid**
- simplified *settings->postprocessing->upscalers*
e.g. all upsamplers share same settings for tiling
- allow upscale-only as part of **txt2img** and **img2img** workflows
simply set *denoising strength* to 0 so hires does not get triggered
- unified init/download/execute/progress code
- easier installation
- **Samplers**:
- moved ui options to submenu
- default list for new installs is now all samplers, list can be modified in settings
- simplified samplers configuration in settings
plus added few new ones like sigma min/max which can highly impact sampler behavior
- note that list of samplers is now *different* since keeping a flat-list of all possible
combinations results in 50+ samplers which is not practical
items such as algorithm (e.g. karras) is actually a sampler option, not a sampler itself
- **CivitAI**:
- civitai model download is now multithreaded and resumable
meaning that you can download multiple models in parallel
as well as resume aborted/incomplete downloads
- civitai integration in *models -> civitai* can now find most
previews AND metadata for most models (checkpoints, loras, embeddings)
metadata is now parsed and saved in *[model].json*
typical hit rate is >95% for models, loras and embeddings
- description from parsed model metadata is used as model description if there is no manual
description file present in format of *[model].txt*
- to enable search for models, make sure all models have set hash values
*Models -> Valida -> Calculate hashes*
- **LoRA**
- new unified LoRA handler for all LoRA types (lora, lyco, loha, lokr, locon, ia3, etc.)
applies to both original and diffusers backend
thanks @AI-Casanova for diffusers port
- for *backend:original*, separate lyco handler has been removed
- **Compute**
- **CUDA**:
- default updated to `torch` *2.1.0* with cuda *12.1*
- testing moved to `torch` *2.2.0-dev/cu122*
- check out *generate context menu -> show nvml* for live gpu stats (memory, power, temp, clock, etc.)
- **Intel Arc/IPEX**:
- tons of optimizations, built-in binary wheels for Windows
i have to say, intel arc/ipex is getting to be quite a player, especially with openvino
thanks @Disty0 @Nuullll
- **AMD ROCm**:
- updated installer to support detect `ROCm` *5.4/5.5/5.6/5.7*
- support for `torch-rocm-5.7`
- **xFormers**:
- default updated to *0.0.23*
- note that latest xformers are still not compatible with cuda 12.1
recommended to use torch 2.1.0 with cuda 11.8
if you attempt to use xformers with cuda 12.1, it will force a full xformers rebuild on install
which can take a very long time and may/may-not work
- added cmd param `--use-xformers` to force usage of exformers
- **GC**:
- custom garbage collect threshold to reduce vram memory usage, thanks @Disty0
see *settings -> compute -> gc*
- **Inference**
- new section in **settings**
- [HyperTile](https://github.com/tfernd/HyperTile): new!
available for *diffusers* and *original* backends
massive (up to 2x) speed-up your generations for free :)
*note: hypertile is not compatible with any extension that modifies processing parameters such as resolution*
thanks @tfernd
- [Free-U](https://github.com/ChenyangSi/FreeU): new!
available for *diffusers* and *original* backends
improve generations quality at no cost (other than finding params that work for you)
*note: temporarily disabled for diffusers pending release of diffusers==0.22*
thanks @ljleb
- [Token Merging](https://github.com/dbolya/tomesd): not new, but updated
available for *diffusers* and *original* backends
speed-up your generations by merging redundant tokens
speed up will depend on how aggressive you want to be with token merging
- **Batch mode**
new option *settings -> inference -> batch mode*
when using img2img process batch, optionally process multiple images in batch in parallel
thanks @Symbiomatrix
- **NSFW Detection/Censor**
- install extension: [NudeNet](https://github.com/vladmandic/sd-extension-nudenet)
body part detection, image metadata, advanced censoring, etc...
works for *text*, *image* and *process* workflows
more in the extension notes
- **Extensions**
- automatic discovery of new extensions on github
no more waiting for them to appear in index!
- new framework for extension validation
extensions ui now shows actual status of extensions for reviewed extensions
if you want to contribute/flag/update extension status, reach out on github or discord
- better overall compatibility with A1111 extensions (up to a point)
- [MultiDiffusion](https://github.com/pkuliyi2015/multidiffusion-upscaler-for-automatic1111)
has been removed from list of built-in extensions
you can still install it manually if desired
- [LyCORIS]<https://github.com/KohakuBlueleaf/a1111-sd-webui-lycoris>
has been removed from list of built-in extensions
it is considered obsolete given that all functionality is now built-in
- **General**
- **Startup**
- all main CLI parameters can now be set as environment variable as well
for example `--data-dir <path>` can be specified as `SD_DATADIR=<path>` before starting SD.Next
- **XYZ Grid**
- more flexibility to use selection or strings
- **Logging**
- get browser session info in server log
- allow custom log file destination
see `webui --log`
- when running with `--debug` flag, log is force-rotated
so each `sdnext.log.*` represents exactly one server run
- internal server job state tracking
- **Launcher**
- new `webui.ps1` powershell launcher for windows (old `webui.bat` is still valid)
thanks @em411
- **API**
- add end-to-end example how to use API: `cli/simple-txt2img.js`
covers txt2img, upscale, hires, refiner
- **train.py**
- wrapper script around built-in **kohya's lora** training script
see `cli/train.py --help`
new support for sd and sdxl, thanks @evshiron
new support for full offline mode (without sdnext server running)
- **Themes**
- all built-in themes are fully supported:
- *black-teal (default), light-teal, black-orange, invoked, amethyst-nightfall, midnight-barbie*
- if you're using any **gradio default** themes or a **3rd party** theme or that are not optimized for SD.Next, you may experience issues
default minimal style has been updated for compatibility, but actual styling is completely outside of SD.Next control
## Update for 2023-09-13
Started as a mostly a service release with quite a few fixes, but then...
Major changes how **hires** works as well as support for a very interesting new model [Wuerstchen](https://huggingface.co/blog/wuertschen)
- tons of fixes
- changes to **hires**
- enable non-latent upscale modes (standard upscalers)
- when using latent upscale, hires pass is run automatically
- when using non-latent upscalers, hires pass is skipped by default
enabled using **force hires** option in ui
hires was not designed to work with standard upscalers, but i understand this is a common workflow
- when using refiner, upscale/hires runs before refiner pass
- second pass can now also utilize full/quick vae quality
- note that when combining non-latent upscale, hires and refiner output quality is maximum,
but operations are really resource intensive as it includes: *base->decode->upscale->encode->hires->refine*
- all combinations of: decode full/quick + upscale none/latent/non-latent + hires on/off + refiner on/off
should be supported, but given the number of combinations, issues are possible
- all operations are captured in image medata
- diffusers:
- allow loading of sd/sdxl models from safetensors without online connectivity
- support for new model: [wuerstchen](https://huggingface.co/warp-ai/wuerstchen)
its a high-resolution model (1024px+) thats ~40% faster than sd-xl with a bit lower resource requirements
go to *models -> huggingface -> search "warp-ai/wuerstchen" -> download*
its nearly 12gb in size, so be patient :)
- minor re-layout of the main ui
- updated **ui hints**
- updated **models -> civitai**
- search and download loras
- find previews for already downloaded models or loras
- new option **inference mode**
- default is standard `torch.no_grad`
new option is `torch.inference_only` which is slightly faster and uses less vram, but only works on some gpus
- new cmdline param `--no-metadata`
skips reading metadata from models that are not already cached
- updated **gradio**
- **styles** support for subfolders
- **css** optimizations
- clean-up **logging**
- capture system info in startup log
- better diagnostic output
- capture extension output
- capture ldm output
- cleaner server restart
- custom exception handling
## Update for 2023-09-06
One week later, another large update!
- system:
- full **python 3.11** support
note that changing python version does require reinstall
and if you're already on python 3.10, really no need to upgrade
- themes:
- new default theme: **black-teal**
- new light theme: **light-teal**
- new additional theme: **midnight-barbie**, thanks @nyxia
- extra networks:
- support for **tags**
show tags on hover, search by tag, list tags, add to prompt, etc.
- **styles** are now also listed as part of extra networks
existing `styles.csv` is converted upon startup to individual styles inside `models/style`
this is stage one of new styles functionality
old styles interface is still available, but will be removed in future
- cache file lists for much faster startup
speedups are 50+% for large number of extra networks
- ui refresh button now refreshes selected page, not all pages
- simplified handling of **descriptions**
now shows on-mouse-over without the need for user interaction
- **metadata** and **info** buttons only show if there is actual content
- diffusers:
- add full support for **textual inversions** (embeddings)
this applies to both sd15 and sdxl
thanks @ai-casanova for porting compel/sdxl code
- mix&match **base** and **refiner** models (*experimental*):
most of those are "because why not" and can result in corrupt images, but some are actually useful
also note that if you're not using actual refiner model, you need to bump refiner steps
as normal models are not designed to work with low step count
and if you're having issues, try setting prompt parser to "fixed attention" as majority of problems
are due to token mismatches when using prompt attention
- any sd15 + any sd15
- any sd15 + sdxl-refiner
- any sdxl-base + sdxl-refiner
- any sdxl-base + any sd15
- any sdxl-base + any sdxl-base
- ability to **interrupt** (stop/skip) model generate
- added **aesthetics score** setting (for sdxl)
used to automatically guide unet towards higher pleasing images
highly recommended for simple prompts
- added **force zeros** setting
create zero-tensor for prompt if prompt is empty (positive or negative)
- general:
- `rembg` remove backgrounds support for **is-net** model
- **settings** now show markers for all items set to non-default values
- **metadata** refactored how/what/when metadata is added to images
should result in much cleaner and more complete metadata
- pre-create all system folders on startup
- handle model load errors gracefully
- improved vram reporting in ui
- improved script profiling (when running in debug mode)
## Update for 2023-08-30
Time for a quite a large update that has been leaking bit-by-bit over the past week or so...
*Note*: due to large changes, it is recommended to reset (delete) your `ui-config.json`
- diffusers:
- support for **distilled** sd models
just go to models/huggingface and download a model, for example:
`segmind/tiny-sd`, `segmind/small-sd`, `segmind/portrait-finetuned`
those are lower quality, but extremely small and fast
up to 50% faster than sd 1.5 and execute in as little as 2.1gb of vram
- general:
- redesigned **settings**
- new layout with separated sections:
*settings, ui config, licenses, system info, benchmark, models*
- **system info** tab is now part of settings
when running outside of sdnext, system info is shown in main ui
- all system and image paths are now relative by default
- add settings validation when performing load/save
- settings tab in ui now shows settings that are changed from default values
- settings tab switch to compact view
- update **gradio** major version
this may result in some smaller layout changes since its a major version change
however, browser page load is now much faster
- optimizations:
- optimize model hashing
- add cli param `--skip-all` that skips all installer checks
use at personal discretion, but it can be useful for bulk deployments
- add model **precompile** option (when model compile is enabled)
- **extra network** folder info caching
results in much faster startup when you have large number of extra networks
- faster **xyz grid** switching
especially when using different checkpoints
- update **second pass** options for clarity
- models:
- civitai download missing model previews
- add **openvino** (experimental) cpu optimized model compile and inference
enable with `--use-openvino`
thanks @disty0
- enable batch **img2img** scale-by workflows
now you can batch process with rescaling based on each individual original image size
- fixes:
- fix extra networks previews
- css fixes
- improved extensions compatibility (e.g. *sd-cn-animation*)
- allow changing **vae** on-the-fly for both original and diffusers backend
## Update for 2023-08-20
Another release thats been baking in dev branch for a while...
- general:
- caching of extra network information to enable much faster create/refresh operations
thanks @midcoastal
- diffusers:
- add **hires** support (*experimental*)
applies to all model types that support img2img, including **sd** and **sd-xl**
also supports all hires upscaler types as well as standard params like steps and denoising strength
when used with **sd-xl**, it can be used with or without refiner loaded
how to enable - there are no explicit checkboxes other than second pass itself:
- hires: upscaler is set and target resolution is not at default
- refiner: if refiner model is loaded
- images save options: *before hires*, *before refiner*
- redo `move model to cpu` logic in settings -> diffusers to be more reliable
note that system defaults have also changed, so you may need to tweak to your liking
- update dependencies
## Update for 2023-08-17
Smaller update, but with some breaking changes (to prepare for future larger functionality)...
- general:
- update all metadata saved with images
see <https://github.com/vladmandic/automatic/wiki/Metadata> for details
- improved **amd** installer with support for **navi 2x & 3x** and **rocm 5.4/5.5/5.6**
thanks @evshiron
- fix **img2img** resizing (applies to *original, diffusers, hires*)
- config change: main `config.json` no longer contains entire configuration
but only differences from defaults (simmilar to recent change performed to `ui-config.json`)
- diffusers:
- enable **batch img2img** workflows
- original:
- new samplers: **dpm++ 3M sde** (standard and karras variations)
enable in *settings -> samplers -> show samplers*
- expose always/never discard penultimage sigma
enable in *settings -> samplers*
## Update for 2023-08-11
This is a big one that's been cooking in `dev` for a while now, but finally ready for release...
- diffusers:
- **pipeline autodetect**
if pipeline is set to autodetect (default for new installs), app will try to autodetect pipeline based on selected model
this should reduce user errors such as loading **sd-xl** model when **sd** pipeline is selected
- **quick vae decode** as alternative to full vae decode which is very resource intensive
quick decode is based on `taesd` and produces lower quality, but its great for tests or grids as it runs much faster and uses far less vram
disabled by default, selectable in *txt2img/img2img -> advanced -> full quality*
- **prompt attention** for sd and sd-xl
supports both `full parser` and native `compel`
thanks @ai-casanova
- advanced **lora load/apply** methods
in addition to standard lora loading that was recently added to sd-xl using diffusers, now we have
- **sequential apply** (load & apply multiple loras in sequential manner) and
- **merge and apply** (load multiple loras and merge before applying to model)
see *settings -> diffusers -> lora methods*
thanks @hameerabbasi and @ai-casanova
- **sd-xl vae** from safetensors now applies correct config
result is that 3rd party vaes can be used without washed out colors
- options for optimized memory handling for lower memory usage
see *settings -> diffusers*
- general:
- new **civitai model search and download**
native support for civitai, integrated into ui as *models -> civitai*
- updated requirements
this time its a bigger change so upgrade may take longer to install new requirements
- improved **extra networks** performance with large number of networks
## Update for 2023-08-05
Another minor update, but it unlocks some cool new items...
- diffusers:
- vaesd live preview (sd and sd-xl)
- fix inpainting (sd and sd-xl)
- general:
- new torch 2.0 with ipex (intel arc)
- additional callbacks for extensions
enables latest comfyui extension
## Update for 2023-07-30
Smaller release, but IMO worth a post...
- diffusers:
- sd-xl lora's are now supported!
- memory optimizations: Enhanced sequential CPU offloading, model CPU offload, FP16 VAE
- significant impact if running SD-XL (for example, but applies to any model) with only 8GB VRAM
- update packages
- minor bugfixes
## Update for 2023-07-26
This is a big one, new models, new diffusers, new features and updated UI...
First, **SD-XL 1.0** is released and yes, SD.Next supports it out of the box!
- [SD-XL Base](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/blob/main/sd_xl_base_1.0.safetensors)
- [SD-XL Refiner](https://huggingface.co/stabilityai/stable-diffusion-xl-refiner-1.0/blob/main/sd_xl_refiner_1.0.safetensors)
Also fresh is new **Kandinsky 2.2** model that does look quite nice:
- [Kandinsky Decoder](https://huggingface.co/kandinsky-community/kandinsky-2-2-decoder)
- [Kandinsky Prior](https://huggingface.co/kandinsky-community/kandinsky-2-2-prior)
Actual changelog is:
- general:
- new loading screens and artwork
- major ui simplification for both txt2img and img2img
nothing is removed, but you can show/hide individual sections
default is very simple interface, but you can enable any sections and save it as default in settings
- themes: add additional built-in theme, `amethyst-nightfall`
- extra networks: add add/remove tags to prompt (e.g. lora activation keywords)
- extensions: fix couple of compatibility items
- firefox compatibility improvements
- minor image viewer improvements
- add backend and operation info to metadata
- diffusers:
- we're out of experimental phase and diffusers backend is considered stable
- sd-xl: support for **sd-xl 1.0** official model
- sd-xl: loading vae now applies to both base and refiner and saves a bit of vram
- sd-xl: denoising_start/denoising_end
- sd-xl: enable dual prompts
dual prompt is used if set regardless if refiner is enabled/loaded
if refiner is loaded & enabled, refiner prompt will also be used for refiner pass
- primary prompt goes to [OpenAI CLIP-ViT/L-14](https://huggingface.co/openai/clip-vit-large-patch14)
- refiner prompt goes to [OpenCLIP-ViT/bigG-14](https://huggingface.co/laion/CLIP-ViT-bigG-14-laion2B-39B-b160k)
- **kandinsky 2.2** support
note: kandinsky model must be downloaded using model downloader, not as safetensors due to specific model format
- refiner: fix batch processing
- vae: enable loading of pure-safetensors vae files without config
also enable *automatic* selection to work with diffusers
- sd-xl: initial lora support
right now this applies to official lora released by **stability-ai**, support for **kohya's** lora is expected soon
- implement img2img and inpainting (experimental)
actual support and quality depends on model
it works as expected for sd 1.5, but not so much for sd-xl for now
- implement limited stop/interrupt for diffusers
works between stages, not within steps
- add option to save image before refiner pass
- option to set vae upcast in settings
- enable fp16 vae decode when using optimized vae
this pretty much doubles performance of decode step (delay after generate is done)
- original
- fix hires secondary sampler
this now fully obsoletes `fallback_sampler` and `force_latent_sampler`
## Update for 2023-07-18
While we're waiting for official SD-XL release, here's another update with some fixes and enhancements...
- **global**
- image save: option to add invisible image watermark to all your generated images
disabled by default, can be enabled in settings -> image options
watermark information will be shown when loading image such as in process image tab
also additional cli utility `/cli/image-watermark.py` to read/write/strip watermarks from images
- batch processing: fix metadata saving, also allow to drag&drop images for batch processing
- ui configuration: you can modify all ui default values from settings as usual,
but only values that are non-default will be written to `ui-config.json`
- startup: add cmd flag to skip all `torch` checks
- startup: force requirements check on each server start
there are too many misbehaving extensions that change system requirements
- internal: safe handling of all config file read/write operations
this allows sdnext to run in fully shared environments and prevents any possible configuration corruptions
- **diffusers**:
- sd-xl: remove image watermarks autocreated by 0.9 model
- vae: enable loading of external vae, documented in diffusers wiki
and mix&match continues, you can even use sd-xl vae with sd 1.5 models!
- samplers: add concept of *default* sampler to avoid needing to tweak settings for primary or second pass
note that sampler details will be printed in log when running in debug level
- samplers: allow overriding of sampler beta values in settings
- refiner: fix refiner applying only to first image in batch
- refiner: allow using direct latents or processed output in refiner
- model: basic support for one more model: [UniDiffuser](https://github.com/thu-ml/unidiffuser)
download using model downloader: `thu-ml/unidiffuser-v1`
and set resolution to 512x512
## Update for 2023-07-14
Trying to unify settings for both original and diffusers backend without introducing duplicates...
- renamed **hires fix** to **second pass**
as that is what it actually is, name hires fix is misleading to start with
- actual **hires fix** and **refiner** are now options inside **second pass** section
- obsoleted settings -> sampler -> **force_latent_sampler**
it is now part of **second pass** options and it works the same for both original and diffusers backend
which means you can use different scheduler settings for txt2img and hires if you want
- sd-xl refiner will run if its loaded and if second pass is enabled
so you can quickly enable/disable refiner by simply enabling/disabling second pass
- you can mix&match **model** and **refiner**
for example, you can generate image using sd 1.5 and still use sd-xl refiner as second pass
- reorganized settings -> samplers to show which section refers to which backend
- added diffusers **lmsd** sampler
## Update for 2023-07-13
Another big one, but now improvements to both **diffusers** and **original** backends as well plus ability to dynamically switch between them!
- swich backend between diffusers and original on-the-fly
- you can still use `--backend <backend>` and now that only means in which mode app will start,
but you can change it anytime in ui settings
- for example, you can even do things like generate image using sd-xl,
then switch to original backend and perform inpaint using a different model
- diffusers backend:
- separate ui settings for refiner pass with sd-xl
you can specify: prompt, negative prompt, steps, denoise start
- fix loading from pure safetensors files
now you can load sd-xl from safetensors file or from huggingface folder format
- fix kandinsky model (2.1 working, 2.2 was just released and will be soon)
- original backend:
- improvements to vae/unet handling as well as cross-optimization heads
in non-technical terms, this means lower memory usage and higher performance
and you should be able to generate higher resolution images without any other changes
- other:
- major refactoring of the javascript code
includes fixes for text selections and navigation
- system info tab now reports on nvidia driver version as well
- minor fixes in extra-networks
- installer handles origin changes for submodules
big thanks to @huggingface team for great communication, support and fixing all the reported issues asap!
## Update for 2023-07-10
Service release with some fixes and enhancements:
- diffusers:
- option to move base and/or refiner model to cpu to free up vram
- model downloader options to specify model variant / revision / mirror
- now you can download `fp16` variant directly for reduced memory footprint
- basic **img2img** workflow (*sketch* and *inpaint* are not supported yet)
note that **sd-xl** img2img workflows are architecturaly different so it will take longer to implement
- updated hints for settings
- extra networks:
- fix corrupt display on refesh when new extra network type found
- additional ui tweaks
- generate thumbnails from previews only if preview resolution is above 1k
- image viewer:
- fixes for non-chromium browsers and mobile users and add option to download image
- option to download image directly from image viewer
- general
- fix startup issue with incorrect config
- installer should always check requirements on upgrades
## Update for 2023-07-08
This is a massive update which has been baking in a `dev` branch for a while now
- merge experimental diffusers support
*TL;DR*: Yes, you can run **SD-XL** model in **SD.Next** now
For details, see Wiki page: [Diffusers](https://github.com/vladmandic/automatic/wiki/Diffusers)
Note this is still experimental, so please follow Wiki
Additional enhancements and fixes will be provided over the next few days
*Thanks to @huggingface team for making this possible and our internal @team for all the early testing*
Release also contains number of smaller updates:
- add pan & zoom controls (touch and mouse) to image viewer (lightbox)
- cache extra networks between tabs
this should result in neat 2x speedup on building extra networks
- add settings -> extra networks -> do not automatically build extra network pages
speeds up app start if you have a lot of extra networks and you want to build them manually when needed
- extra network ui tweaks
## Update for 2023-07-01
Small quality-of-life updates and bugfixes:
- add option to disallow usage of ckpt checkpoints
- change lora and lyco dir without server restart
- additional filename template fields: `uuid`, `seq`, `image_hash`
- image toolbar is now shown only when image is present
- image `Zip` button gone and its not optional setting that applies to standard `Save` button
- folder `Show` button is present only when working on localhost,
otherwise its replaced with `Copy` that places image URLs on clipboard so they can be used in other apps
## Update for 2023-06-30
A bit bigger update this time, but contained to specific areas...
- change in behavior
extensions no longer auto-update on startup
using `--upgrade` flag upgrades core app as well as all submodules and extensions
- **live server log monitoring** in ui
configurable via settings -> live preview
- new **extra networks interface**
*note: if you're using a 3rd party ui extension for extra networks, it will likely need to be updated to work with new interface*
- display in front of main ui, inline with main ui or as a sidebar
- lazy load thumbnails
drastically reduces load times for large number of extra networks
- auto-create thumbnails from preview images in extra networks in a background thread
significant load time saving on subsequent restarts
- support for info files in addition to description files
- support for variable aspect-ratio thumbnails
- new folder view
- **extensions sort** by trending
- add requirements check for training
## Update for 2023-06-26
- new training tab interface
- redesigned preprocess, train embedding, train hypernetwork
- new models tab interface
- new model convert functionality, thanks @akegarasu
- new model verify functionality
- lot of ipex specific fixes/optimizations, thanks @disty0
## Update for 2023-06-20
This one is less relevant for standard users, but pretty major if you're running an actual server
But even if not, it still includes bunch of cumulative fixes since last release - and going by number of new issues, this is probably the most stable release so far...
(next one is not going to be as stable, but it will be fun :) )
- minor improvements to extra networks ui
- more hints/tooltips integrated into ui
- new dedicated api server
- but highly promising for high throughput server
- improve server logging and monitoring with
- server log file rotation
- ring buffer with api endpoint `/sdapi/v1/log`
- real-time status and load endpoint `/sdapi/v1/system-info/status`
## Update for 2023-06-14
Second stage of a jumbo merge from upstream plus few minor changes...
- simplify token merging
- reorganize some settings
- all updates from upstream: **A1111** v1.3.2 [df004be] *(latest release)*
pretty much nothing major that i haven't released in previous versions, but its still a long list of tiny changes
- skipped/did-not-port:
add separate hires prompt: unnecessarily complicated and spread over large number of commits due to many regressions
allow external scripts to add cross-optimization methods: dangerous and i don't see a use case for it so far
load extension info in threads: unnecessary as other optimizations i've already put place perform equally good
- broken/reverted:
sub-quadratic optimization changes
## Update for 2023-06-13
Just a day later and one *bigger update*...
Both some **new functionality** as well as **massive merges** from upstream
- new cache for models/lora/lyco metadata: `metadata.json`
drastically reduces disk access on app startup
- allow saving/resetting of **ui default values**
settings -> ui defaults
- ability to run server without loaded model
default is to auto-load model on startup, can be changed in settings -> stable diffusion
if disabled, model will be loaded on first request, e.g. when you click generate
useful when you want to start server to perform other tasks like upscaling which do not rely on model
- updated `accelerate` and `xformers`
- huge nubmer of changes ported from **A1111** upstream
this was a massive merge, hopefully this does not cause any regressions
and still a bit more pending...
## Update for 2023-06-12
- updated ui labels and hints to improve clarity and provide some extra info
this is 1st stage of the process, more to come...
if you want to join the effort, see <https://github.com/vladmandic/automatic/discussions/1246>
- new localization and hints engine
how hints are displayed can be selected in settings -> ui
- reworked **installer** sequence
as some extensions are loading packages directly from their preload sequence
which was preventing some optimizations to take effect
- updated **settings** tab functionality, thanks @gegell
with real-time monitor for all new and/or updated settings
- **launcher** will now warn if application owned files are modified
you are free to add any user files, but do not modify app files unless you're sure in what you're doing
- add more profiling for scripts/extensions so you can see what takes time
this applies both to initial load as well as execution
- experimental `sd_model_dict` setting which allows you to load model dictionary
from one model and apply weights from another model specified in `sd_model_checkpoint`
results? who am i to judge :)
## Update for 2023-06-05
Few new features and extra handling for broken extensions
that caused my phone to go crazy with notifications over the weekend...
- added extra networks to **xyz grid** options
now you can have more fun with all your embeddings and loras :)
- new **vae decode** method to help with larger batch sizes, thanks @bigdog
- new setting -> lora -> **use lycoris to handle all lora types**
this is still experimental, but the goal is to obsolete old built-in lora module
as it doesn't understand many new loras and built-in lyco module can handle it all
- somewhat optimize browser page loading
still slower than i'd want, but gradio is pretty bad at this
- profiling of scripts/extensions callbacks
you can now see how much or pre/post processing is done, not just how long generate takes
- additional exception handling so bad exception does not crash main app
- additional background removal models
- some work on bfloat16 which nobody really should be using, but why not 🙂
## Update for 2023-06-02
Some quality-of-life improvements while working on larger stuff in the background...
- redesign action box to be uniform across all themes
- add **pause** option next to stop/skip
- redesigned progress bar
- add new built-in extension: **agent-scheduler**
very elegant way to getting full queueing capabilities, thank @artventurdev
- enable more image formats
note: not all are understood by browser so previews and images may appear as blank
unless you have some browser extensions that can handle them
but they are saved correctly. and cant beat raw quality of 32-bit `tiff` or `psd` :)
- change in behavior: `xformers` will be uninstalled on startup if they are not active
if you do have `xformers` selected as your desired cross-optimization method, then they will be used
reason is that a lot of libaries try to blindly import xformers even if they are not selected or not functional
## Update for 2023-05-30
Another bigger one...And more to come in the next few days...
- new live preview mode: taesd
i really like this one, so its enabled as default for new installs
- settings search feature
- new sampler: dpm++ 2m sde
- fully common save/zip/delete (new) options in all tabs
which (again) meant rework of process image tab
- system info tab: live gpu utilization/memory graphs for nvidia gpus
- updated controlnet interface
- minor style changes
- updated lora, swinir, scunet and ldsr code from upstream
- start of merge from a1111 v1.3
## Update for 2023-05-26
Some quality-of-life improvements...
- updated [README](https://github.com/vladmandic/automatic/blob/master/README.md)
- created [CHANGELOG](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md)
this will be the source for all info about new things moving forward
and cross-posted to [Discussions#99](https://github.com/vladmandic/automatic/discussions/99) as well as discord [announcements](https://discord.com/channels/1101998836328697867/1109953953396957286)
- optimize model loading on startup
this should reduce startup time significantly
- set default cross-optimization method for each platform backend
applicable for new installs only
- `cuda` => Scaled-Dot-Product
- `rocm` => Sub-quadratic
- `directml` => Sub-quadratic
- `ipex` => InvokeAI's
- `mps` => Doggettx's
- `cpu` => Doggettx's
- optimize logging
- optimize profiling
now includes startup profiling as well as `cuda` profiling during generate
- minor lightbox improvements
- bugfixes...i don't recall when was a release with at least several of those
other than that - first stage of [Diffusers](https://github.com/huggingface/diffusers) integration is now in master branch
i don't recommend anyone to try it (and dont even think reporting issues for it)
but if anyone wants to contribute, take a look at [project page](https://github.com/users/vladmandic/projects/1/views/1)
## Update for 2023-05-23
Major internal work with perhaps not that much user-facing to show for it ;)
- update core repos: **stability-ai**, **taming-transformers**, **k-diffusion, blip**, **codeformer**
note: to avoid disruptions, this is applicable for new installs only
- tested with **torch 2.1**, **cuda 12.1**, **cudnn 8.9**
(production remains on torch2.0.1+cuda11.8+cudnn8.8)
- fully extend support of `--data-dir`
allows multiple installations to share pretty much everything, not just models
especially useful if you want to run in a stateless container or cloud instance
- redo api authentication
now api authentication will use same user/pwd (if specified) for ui and strictly enforce it using httpbasicauth
new authentication is also fully supported in combination with ssl for both sync and async calls
if you want to use api programatically, see examples in `cli/sdapi.py`
- add dark/light theme mode toggle
- redo some `clip-skip` functionality
- better matching for vae vs model
- update to `xyz grid` to allow creation of large number of images without creating grid itself
- update `gradio` (again)
- more prompt parser optimizations
- better error handling when importing image settings which are not compatible with current install
for example, when upscaler or sampler originally used is not available
- fixes...amazing how many issues were introduced by porting a1111 v1.20 code without adding almost no new functionality
next one is v1.30 (still in dev) which does bring a lot of new features
## Update for 2023-05-17
This is a massive one due to huge number of changes,
but hopefully it will go ok...
- new **prompt parsers**
select in UI -> Settings -> Stable Diffusion
- **Full**: my new implementation
- **A1111**: for backward compatibility
- **Compel**: as used in ComfyUI and InvokeAI (a.k.a *Temporal Weighting*)
- **Fixed**: for really old backward compatibility
- monitor **extensions** install/startup and
log if they modify any packages/requirements
this is a *deep-experimental* python hack, but i think its worth it as extensions modifying requirements
is one of most common causes of issues
- added `--safe` command line flag mode which skips loading user extensions
please try to use it before opening new issue
- reintroduce `--api-only` mode to start server without ui
- port *all* upstream changes from [A1111](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
up to today - commit hash `89f9faa`
## Update for 2023-05-15
- major work on **prompt parsing**
this can cause some differences in results compared to what you're used to, but its all about fixes & improvements
- prompt parser was adding commas and spaces as separate words and tokens and/or prefixes
- negative prompt weight using `[word:weight]` was ignored, it was always `0.909`
- bracket matching was anything but correct. complex nested attention brackets are now working.
- btw, if you run with `--debug` flag, you'll now actually see parsed prompt & schedule
- updated all scripts in `/cli`
- add option in settings to force different **latent sampler** instead of using primary only
- add **interrupt/skip** capabilities to process images
## Update for 2023-05-13
This is mostly about optimizations...
- improved `torch-directml` support
especially interesting for **amd** users on **windows** where **torch+rocm** is not yet available
dont forget to run using `--use-directml` or default is **cpu**
- improved compatibility with **nvidia** rtx 1xxx/2xxx series gpus
- fully working `torch.compile` with **torch 2.0.1**
using `inductor` compile takes a while on first run, but does result in 5-10% performance increase
- improved memory handling
for highest performance, you can also disable aggressive **gc** in settings
- improved performance
especially *after* generate as image handling has been moved to separate thread
- allow per-extension updates in extension manager
- option to reset configuration in settings
## Update for 2023-05-11
- brand new **extension manager**
this is pretty much a complete rewrite, so new issues are possible
- support for `torch` 2.0.1
note that if you are experiencing frequent hangs, this may be a worth a try
- updated `gradio` to 3.29.0
- added `--reinstall` flag to force reinstall of all packages
- auto-recover & re-attempt when `--upgrade` is requested but fails
- check for duplicate extensions
## Update for 2023-05-08
Back online with few updates:
- bugfixes. yup, quite a lot of those
- auto-detect some cpu/gpu capabilities on startup
this should reduce need to tweak and tune settings like no-half, no-half-vae, fp16 vs fp32, etc
- configurable order of top level tabs
- configurable order of scripts in txt2img and img2img
for both, see sections in ui-> settings -> user interface
## Update for 2023-05-04
Again, few days later...
- reviewed/ported **all** commits from **A1111** upstream
some a few are not applicable as i already have alternative implementations
and very few i choose not to implement (save/restore last-known-good-config is a bad hack)
otherwise, we're fully up to date (its doesn't show on fork status as code merges were mostly manual due to conflicts)
but...due to sheer size of the updates, this may introduce some temporary issues
- redesigned server restart function
now available and working in ui
actually, since server restart is now a true restart and not ui restart, it can be used much more flexibly
- faster model load
plus support for slower devices via stream-load function (in ui settings)
- better logging
this includes new `--debug` flag for more verbose logging when troubleshooting
## Update for 2023-05-01
Been a bit quieter for last few days as changes were quite significant, but finally here we are...
- Updated core libraries: Gradio, Diffusers, Transformers
- Added support for **Intel ARC** GPUs via Intel OneAPI IPEX (auto-detected)
- Added support for **TorchML** (set by default when running on non-compatible GPU or on CPU)
- Enhanced support for AMD GPUs with **ROCm**
- Enhanced support for Apple **M1/M2**
- Redesigned command params: run `webui --help` for details
- Redesigned API and script processing
- Experimental support for multiple **Torch compile** options
- Improved sampler support
- Google Colab: <https://colab.research.google.com/drive/126cDNwHfifCyUpCCQF9IHpEdiXRfHrLN>
Maintained by <https://github.com/Linaqruf/sd-notebook-collection>
- Fixes, fixes, fixes...
To take advantage of new out-of-the-box tunings, its recommended to delete your `config.json` so new defaults are applied. Its not necessary, but otherwise you may need to play with UI Settings to get the best of Intel ARC, TorchML, ROCm or Apple M1/M2.
## Update for 2023-04-27
a bit shorter list as:
- i've been busy with bugfixing
there are a lot of them, not going to list each here.
but seems like critical issues backlog is quieting down and soon i can focus on new features development.
- i've started collaboration with couple of major projects,
hopefully this will accelerate future development.
what's new:
- ability to view/add/edit model description shown in extra networks cards
- add option to specify fallback sampler if primary sampler is not compatible with desired operation
- make clip skip a local parameter
- remove obsolete items from UI settings
- set defaults for AMD ROCm
if you have issues, you may want to start with a fresh install so configuration can be created from scratch
- set defaults for Apple M1/M2
if you have issues, you may want to start with a fresh install so configuration can be created from scratch
## Update for 2023-04-25
- update process image -> info
- add VAE info to metadata
- update GPU utility search paths for better GPU type detection
- update git flags for wider compatibility
- update environment tuning
- update ti training defaults
- update VAE search paths
- add compatibility opts for some old extensions
- validate script args for always-on scripts
fixes: deforum with controlnet
## Update for 2023-04-24
- identify race condition where generate locks up while fetching preview
- add pulldowns to x/y/z script
- add VAE rollback feature in case of NaNs
- use samples format for live preview
- add token merging
- use **Approx NN** for live preview
- create default `styles.csv`
- fix setup not installing `tensorflow` dependencies
- update default git flags to reduce number of warnings
## Update for 2023-04-23
- fix VAE dtype
should fix most issues with NaN or black images
- add built-in Gradio themes
- reduce requirements
- more AMD specific work
- initial work on Apple platform support
- additional PR merges
- handle torch cuda crashing in setup
- fix setup race conditions
- fix ui lightbox
- mark tensorflow as optional
- add additional image name templates
## Update for 2023-04-22
- autodetect which system libs should be installed
this is a first pass of autoconfig for **nVidia** vs **AMD** environments
- fix parse cmd line args from extensions
- only install `xformers` if actually selected as desired cross-attention method
- do not attempt to use `xformers` or `sdp` if running on cpu
- merge tomesd token merging
- merge 23 PRs pending from a1111 backlog (!!)
*expect shorter updates for the next few days as i'll be partially ooo*
## Update for 2023-04-20
- full CUDA tuning section in UI Settings
- improve exif/pnginfo metadata parsing
it can now handle 3rd party images or images edited in external software
- optimized setup performance and logging
- improve compatibility with some 3rd party extensions
for example handle extensions that install packages directly from github urls
- fix initial model download if no models found
- fix vae not found issues
- fix multiple git issues
note: if you previously had command line optimizations such as --no-half, those are now ignored and moved to ui settings
## Update for 2023-04-19
- fix live preview
- fix model merge
- fix handling of user-defined temp folders
- fix submit benchmark
- option to override `torch` and `xformers` installer
- separate benchmark data for system-info extension
- minor css fixes
- created initial merge backlog from pending prs on a1111 repo
see #258 for details
## Update for 2023-04-18
- reconnect ui to active session on browser restart
this is one of most frequently asked for items, finally figured it out
works for text and image generation, but not for process as there is no progress bar reported there to start with
- force unload `xformers` when not used
improves compatibility with AMD/M1 platforms
- add `styles.csv` to UI settings to allow customizing path
- add `--skip-git` to cmd flags for power users that want
to skip all git checks and operations and perform manual updates
- add `--disable-queue` to cmd flags that disables Gradio queues (experimental)
this forces it to use HTTP instead of WebSockets and can help on unreliable network connections
- set scripts & extensions loading priority and allow custom priorities
fixes random extension issues:
`ScuNet` upscaler disappearing, `Additional Networks` not showing up on XYZ axis, etc.
- improve html loading order
- remove some `asserts` causing runtime errors and replace with user-friendly messages
- update README.md
- update TODO.md
## Update for 2023-04-17
- **themes** are now dynamic and discovered from list of available gradio themes on huggingface
its quite a list of 30+ supported themes so far
- added option to see **theme preview** without the need to apply it or restart server
- integrated **image info** functionality into **process image** tab and removed separate **image info** tab
- more installer improvements
- fix urls
- updated github integration
- make model download as optional if no models found
## Update for 2023-04-16
- support for ui themes! to to *settings* -> *user interface* -> "ui theme*
includes 12 predefined themes
- ability to restart server from ui
- updated requirements
- removed `styles.csv` from repo, its now fully under user control
- removed model-keyword extension as overly aggressive
- rewrite of the fastapi middleware handlers
- install bugfixes, hopefully new installer is now ok \
i really want to focus on features and not troubleshooting installer
## Update for 2023-04-15
- update default values
- remove `ui-config.json` from repo, its not fully under user control
- updated extensions manager
- updated locon/lycoris plugin
- enable quick launch by default
- add multidiffusion upscaler extensions
- add model keyword extension
- enable strong linting
- fix circular imports
- fix extensions updated
- fix git update issues
- update github templates
## Update for 2023-04-14
- handle duplicate extensions
- redo exception handler
- fix generate forever
- enable cmdflags compatibility
- change default css font
- fix ti previews on initial start
- enhance tracebacks
- pin transformers version to last known good version
- fix extension loader
## Update for 2023-04-12
This has been pending for a while, but finally uploaded some massive changes
- New launcher
- `webui.bat` and `webui.sh`:
Platform specific wrapper scripts that starts `launch.py` in Python virtual environment
*Note*: Server can run without virtual environment, but it is recommended to use it
This is carry-over from original repo
**If you're unsure which launcher to use, this is the one you want**
- `launch.py`:
Main startup script
Can be used directly to start server in manually activated `venv` or to run it without `venv`
- `installer.py`:
Main installer, used by `launch.py`
- `webui.py`:
Main server script
- New logger
- New exception handler
- Built-in performance profiler
- New requirements handling
- Move of most of command line flags into UI Settings
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