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:
- 2a4e92ffa203c431830f39614b460a79161c75383c42f62bb38c72d0910eeefa
- Size of remote file:
- 492 MB
- SHA256:
- 23d6a696192ca557cbe900f757053282bee7a86e225c8ffe824f540561704f3e
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