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:
- e002e64f1f01324e20f13870d3e6f44ee8965dafa93ba6708ad041106e3c6420
- Size of remote file:
- 335 MB
- SHA256:
- d9a9db65b55c2aff1fffed82db646faedb21d564473c48168eded4ea5cf961d7
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