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:
- 44abdebc1728510c106599fec397733effb69ccdc02cbf150ee5a8239e5234f1
- Size of remote file:
- 492 MB
- SHA256:
- cffb49961fab70b9202dc90d921a791c8fdee4f173247fa4fb4627ddf4d37d9a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.