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
- Xet hash:
- 16a334d6c81efba95f792205184bb04da9d2a87a97eb82d24d1224ca3a10db81
- Size of remote file:
- 3.44 GB
- SHA256:
- 78ba6a0bda78019ad1dc2d1a4c82a5cd65e9b3d80f7be5aa01d1e60718dd6ab1
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