mirror of https://github.com/vladmandic/automatic
update requirements and changelog
Signed-off-by: Vladimir Mandic <mandic00@live.com>pull/3642/head
Vladimir Mandic
parent
6c2654d8c8
commit
a71bae4f42
|
|
@ -1,8 +1,8 @@
|
|||
# Change Log for SD.Next
|
||||
|
||||
## Update for 2024-12-23
|
||||
## Update for 2024-12-24
|
||||
|
||||
### Highlights for 2024-12-23
|
||||
### Highlights for 2024-12-24
|
||||
|
||||
### SD.Next Xmass edition: *What's new?*
|
||||
|
||||
|
|
@ -28,11 +28,11 @@ And a lot of **Control** and **IPAdapter** goodies
|
|||
Plus couple of new integrated workflows such as [FreeScale](https://github.com/ali-vilab/FreeScale) and [Style Aligned Image Generation](https://style-aligned-gen.github.io/)
|
||||
|
||||
And it wouldn't be a *Xmass edition* without couple of custom themes: *Snowflake* and *Elf-Green*!
|
||||
All-in-all, we're around ~160 commits worth of updates, check changelog for full list
|
||||
All-in-all, we're around ~180 commits worth of updates, check the changelog for full list
|
||||
|
||||
[ReadMe](https://github.com/vladmandic/automatic/blob/master/README.md) | [ChangeLog](https://github.com/vladmandic/automatic/blob/master/CHANGELOG.md) | [Docs](https://vladmandic.github.io/sdnext-docs/) | [WiKi](https://github.com/vladmandic/automatic/wiki) | [Discord](https://discord.com/invite/sd-next-federal-batch-inspectors-1101998836328697867)
|
||||
|
||||
## Details for 2024-12-23
|
||||
## Details for 2024-12-24
|
||||
|
||||
### New models and integrations
|
||||
|
||||
|
|
|
|||
|
|
@ -26,7 +26,7 @@
|
|||
All individual features are not listed here, instead check [ChangeLog](CHANGELOG.md) for full list of changes
|
||||
- Multiple UIs!
|
||||
▹ **Standard | Modern**
|
||||
- Multiple diffusion models!
|
||||
- Multiple [diffusion models](https://vladmandic.github.io/sdnext-docs/Model-Support/)!
|
||||
- Built-in Control for Text, Image, Batch and video processing!
|
||||
- Multiplatform!
|
||||
▹ **Windows | Linux | MacOS | nVidia | AMD | IntelArc/IPEX | DirectML | OpenVINO | ONNX+Olive | ZLUDA**
|
||||
|
|
@ -36,7 +36,6 @@ All individual features are not listed here, instead check [ChangeLog](CHANGELOG
|
|||
- Optimized processing with latest `torch` developments with built-in support for `torch.compile`
|
||||
and multiple compile backends: *Triton, ZLUDA, StableFast, DeepCache, OpenVINO, NNCF, IPEX, OneDiff*
|
||||
- Built-in queue management
|
||||
- Enterprise level logging and hardened API
|
||||
- Built in installer with automatic updates and dependency management
|
||||
- Mobile compatible
|
||||
|
||||
|
|
@ -68,7 +67,7 @@ SD.Next supports broad range of models: [supported models](https://vladmandic.gi
|
|||
- Any GPU or device compatible with **OpenVINO** libraries on both *Windows and Linux*
|
||||
- *Apple M1/M2* on *OSX* using built-in support in Torch with **MPS** optimizations
|
||||
- *ONNX/Olive*
|
||||
- *AMD* GPUs on Windows using **ZLUDA** libraries
|
||||
- *AMD* GPUs on Windows using **ZLUDA** libraries
|
||||
|
||||
## Getting started
|
||||
|
||||
|
|
|
|||
|
|
@ -1 +1 @@
|
|||
Subproject commit ff2bbd16820617ce26183a6c6538dc95a312b5de
|
||||
Subproject commit 50bc931ce6715e30bb86da52033e01e98add4e6c
|
||||
|
|
@ -459,7 +459,7 @@ def check_python(supported_minors=[9, 10, 11, 12], reason=None):
|
|||
def check_diffusers():
|
||||
if args.skip_all or args.skip_git:
|
||||
return
|
||||
sha = '4b557132ce955d58fd84572c03e79f43bdc91450' # diffusers commit hash
|
||||
sha = '6dfaec348780c6153a4cfd03a01972a291d67f82' # diffusers commit hash
|
||||
pkg = pkg_resources.working_set.by_key.get('diffusers', None)
|
||||
minor = int(pkg.version.split('.')[1] if pkg is not None else 0)
|
||||
cur = opts.get('diffusers_version', '') if minor > 0 else ''
|
||||
|
|
|
|||
|
|
@ -141,7 +141,8 @@ def full_vae_decode(latents, model):
|
|||
|
||||
log_debug(f'VAE config: {model.vae.config}')
|
||||
try:
|
||||
decoded = model.vae.decode(latents, return_dict=False)[0]
|
||||
with devices.inference_context():
|
||||
decoded = model.vae.decode(latents, return_dict=False)[0]
|
||||
except Exception as e:
|
||||
shared.log.error(f'VAE decode: {stats} {e}')
|
||||
if 'out of memory' not in str(e):
|
||||
|
|
@ -159,8 +160,6 @@ def full_vae_decode(latents, model):
|
|||
model.vae.apply(sd_models.convert_to_faketensors)
|
||||
devices.torch_gc(force=True)
|
||||
|
||||
# if shared.opts.diffusers_offload_mode == "balanced":
|
||||
# shared.sd_model = sd_models.apply_balanced_offload(shared.sd_model)
|
||||
elif shared.opts.diffusers_move_unet and not getattr(model, 'has_accelerate', False) and base_device is not None:
|
||||
sd_models.move_base(model, base_device)
|
||||
t1 = time.time()
|
||||
|
|
|
|||
|
|
@ -45,7 +45,7 @@ accelerate==1.2.1
|
|||
opencv-contrib-python-headless==4.9.0.80
|
||||
einops==0.4.1
|
||||
gradio==3.43.2
|
||||
huggingface_hub==0.26.5
|
||||
huggingface_hub==0.27.0
|
||||
numexpr==2.8.8
|
||||
numpy==1.26.4
|
||||
numba==0.59.1
|
||||
|
|
|
|||
Loading…
Reference in New Issue