Instructions to use RunDiffusion/RunDiffusion-XL-Beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RunDiffusion/RunDiffusion-XL-Beta with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RunDiffusion/RunDiffusion-XL-Beta", 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:
- 08d7d192d056c01de29de9968d7469ad95d2dc7643250a099b3f819a00e2af91
- Size of remote file:
- 1.39 GB
- SHA256:
- f4fe433d6878e9bd3a31a9067e01ab354903c4df4921aee1ccd8722c05685f55
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