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:
- 630b22ee67a1fa8cda9a8d57ae8569b1c949eb110622a894d5df0a9477f82b3c
- Size of remote file:
- 10.3 GB
- SHA256:
- 08a2008b4c6fa12c63a11454908af81b481f0cd6b9e1c39d8fb73e9ef8f284e3
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