Instructions to use ermu2001/ChatAnything with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ermu2001/ChatAnything with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ermu2001/ChatAnything", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload MODELS/controlnet-canny-sdxl-1.0/out_room.png with huggingface_hub
Browse files
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MODELS/SadTalker/BFM_Fitting/01_MorphableModel.mat filter=lfs diff=lfs merge=lfs -text
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MODELS/SadTalker/BFM_Fitting/BFM09_model_info.mat filter=lfs diff=lfs merge=lfs -text
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MODELS/SadTalker/BFM_Fitting/01_MorphableModel.mat filter=lfs diff=lfs merge=lfs -text
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MODELS/SadTalker/BFM_Fitting/BFM09_model_info.mat filter=lfs diff=lfs merge=lfs -text
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MODELS/controlnet-canny-sdxl-1.0/out_room.png filter=lfs diff=lfs merge=lfs -text
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MODELS/controlnet-canny-sdxl-1.0/out_room.png
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Git LFS Details
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