Instructions to use diff-mining/xray with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diff-mining/xray with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diff-mining/xray", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 4bcefb571c3a6b44ba9f2e0bec15c085d8b45e1aec3e2f347c5b384781f8613a
- Size of remote file:
- 3.44 GB
- SHA256:
- 06c4b8149c2783f3f76a2b0ac8acd9ff96a4de3cd3e847779c5012b7188ecb08
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