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 Settings
- Draw Things
- DiffusionBee
Commit History
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Add some useful tags to better discover the model
This PR adds: - "Art" tag so that it appears when people look for "Art" - a task tag so that it appears under the "text-to-image" task - and the stable-diffusion tag2aa1a7f
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Added Licensing Terms
11d96a9 -
initial commit
3d2489f