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
Download MODELS/3D_Animation_Diffusion/vae/diffusion_pytorch_model.bin from ermu2001/ChatAnything: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/ermu2001/ChatAnything/resolve/bcd8ff32eef43e5f6d908ebfaafa947cd600b2da/MODELS/3D_Animation_Diffusion/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://ermu2001/ChatAnything@bcd8ff32eef43e5f6d908ebfaafa947cd600b2da/MODELS/3D_Animation_Diffusion/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/ermu2001/ChatAnything/resolve/bcd8ff32eef43e5f6d908ebfaafa947cd600b2da/MODELS/3D_Animation_Diffusion/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 645be032b9e773042ccd926511fdd24b07fd9ab038efb168f2c4386537917467
- Size of remote file:
- 335 MB
- SHA256:
- b535b7b6806bdba6499b802a7d8701868b79f2cdedcc7c7f6868f9bae58cfc4a
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