Instructions to use xarthurx/diffuser-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xarthurx/diffuser-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xarthurx/diffuser-models", 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:
- 36117b53f566c45baa1502a782b40045fc821d460f6c1d8227540d22ebcb5ca9
- Size of remote file:
- 1.36 GB
- SHA256:
- 1973397c158814cb8d543c2af27d17f33349b4124f75e3661f9276596cee257f
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