mirror of https://github.com/vladmandic/automatic
Vladimir Mandic
parent
4e184f41af
commit
9168a66fd2
12
CHANGELOG.md
12
CHANGELOG.md
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@ -204,7 +204,7 @@ What else?
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implemented as an extension for **SD.Next** (for the moment while dev is ongoing)
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generate high-quality videos with pretty much unlimited duration and with limited VRAM!
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install as any other extension and for details see extension [README](https://github.com/vladmandic/sd-extension-framepack/blob/main/README.md)
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- I2V & FLF2V support with explicit strength controls
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- I2V & FLF2V support with explicit strength controls
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- complex actions: modify prompts for each section of the video
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- LoRA support: use normal **HunyuanVideo** LoRAs
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- decode: use local, tiny or remote VAE
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@ -316,7 +316,7 @@ There are quite a few other performance and quality-of-life improvements in this
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- **Models**
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- [HiDream-I1](https://huggingface.co/HiDream-ai/HiDream-I1-Full) in fast, dev and full variants!
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new absolutely massive image generative foundation model with **17B** parameters and 4 text-encoders with additional **8.3B** parameters
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new absolutely massive image generative foundation model with **17B** parameters and 4 text-encoders with additional **8.3B** parameters
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simply select from *networks -> models -> reference*
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due to size (over 25B params in 58GB), offloading and on-the-fly quantization are pretty much a necessity
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see [HiDream Wiki page](https://github.com/vladmandic/sdnext/wiki/HiDream) for details
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@ -375,7 +375,7 @@ Time for another major release with ~120 commits and [ChangeLog](https://github.
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*Highlights?*
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Video...Brand new Video processing module with support for all latest models: **WAN21, Hunyuan, LTX, Cog, Allegro, Mochi1, Latte1** in both *T2V* and *I2V* workflows
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And combined with *on-the-fly quantization*, support for *Local/Tiny/Remote* VAE, acceleration modules such as *FasterCache or PAB*, and more!
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Models...And support for new models: **CogView-4**, **SANA 1.5**,
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Models...And support for new models: **CogView-4**, **SANA 1.5**,
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*Plus...*
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- New **Prompt Enhance** using LLM,
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@ -674,7 +674,7 @@ We're back with another update with nearly 100 commits!
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- updated **CUDA** receipe to `torch==2.6.0` with `cuda==12.6` and add prebuilt image
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- added **ROCm** receipe and prebuilt image
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- added **IPEX** receipe and add prebuilt image
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- added **OpenVINO** receipe and prebuilt image
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- added **OpenVINO** receipe and prebuilt image
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- **System**
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- improve **python==3.12** compatibility
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- **Torch**
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@ -747,7 +747,7 @@ Just one week after latest release and what a week it was with over 50 commits!
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- **GitHub**
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- rename core repo from <https://github.com/vladmandic/automatic> to <https://github.com/vladmandic/sdnext>
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old repo url should automatically redirect to new one for seamless transition and in-place upgrades
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old repo url should automatically redirect to new one for seamless transition and in-place upgrades
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all internal links have been updated
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wiki content and docs site have been updated
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- **Docs**:
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@ -1096,7 +1096,7 @@ We've also added support for several new models such as highly anticipated [NVLa
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And several new SOTA video models: [Lightricks LTX-Video](https://huggingface.co/Lightricks/LTX-Video), [Hunyuan Video](https://huggingface.co/tencent/HunyuanVideo) and [Genmo Mochi.1 Preview](https://huggingface.co/genmo/mochi-1-preview)
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And a lot of **Control** and **IPAdapter** goodies
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- for **SDXL** there is new [ProMax](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0), improved *Union* and *Tiling* models
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- for **SDXL** there is new [ProMax](https://huggingface.co/xinsir/controlnet-union-sdxl-1.0), improved *Union* and *Tiling* models
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- for **FLUX.1** there are [Flux Tools](https://blackforestlabs.ai/flux-1-tools/) as well as official *Canny* and *Depth* models,
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a cool [Redux](https://huggingface.co/black-forest-labs/FLUX.1-Redux-dev) model as well as [XLabs](https://huggingface.co/XLabs-AI/flux-ip-adapter-v2) IP-adapter
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- for **SD3.5** there are official *Canny*, *Blur* and *Depth* models in addition to existing 3rd party models
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@ -546,7 +546,7 @@ def check_diffusers():
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t_start = time.time()
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if args.skip_all or args.skip_git or args.experimental:
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return
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sha = '20379d9d1395b8e95977faf80facff43065ba75f' # diffusers commit hash
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sha = '6508da6f06a0da1054ae6a808d0025c04b70f0e8' # diffusers commit hash
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pkg = pkg_resources.working_set.by_key.get('diffusers', None)
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minor = int(pkg.version.split('.')[1] if pkg is not None else 0)
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cur = opts.get('diffusers_version', '') if minor > 0 else ''
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@ -35,6 +35,7 @@
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"eslint-config-airbnb-base": "^15.0.0",
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"eslint-plugin-css": "^0.9.2",
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"eslint-plugin-html": "^8.1.1",
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"eslint-plugin-import": "^2.31.0",
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"eslint-plugin-json": "^3.1.0",
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"eslint-plugin-markdown": "^4.0.1",
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"eslint-plugin-node": "^11.1.0"
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@ -41,7 +41,7 @@ torchsde==0.2.6
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antlr4-python3-runtime==4.9.3
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requests==2.32.3
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tqdm==4.67.1
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accelerate==1.6.0
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accelerate==1.7.0
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opencv-contrib-python-headless==4.9.0.80
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einops==0.4.1
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gradio==3.43.2
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@ -52,7 +52,7 @@ numba==0.61.2
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protobuf==4.25.3
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pytorch_lightning==1.9.4
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tokenizers==0.21.1
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transformers==4.51.3
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transformers==4.52.3
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urllib3==1.26.19
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Pillow==10.4.0
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timm==0.9.16
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