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
Download vae/diffusion_pytorch_model.fp16.safetensors from RunDiffusion/RunDiffusion-XL-Beta: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/RunDiffusion/RunDiffusion-XL-Beta/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://RunDiffusion/RunDiffusion-XL-Beta/vae/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/RunDiffusion/RunDiffusion-XL-Beta/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
167 MB
- Xet hash:
- 86e682d05336fe5faa430009004861e11e83a7177d22f0e6f4e744b159c3a5ed
- Size of remote file:
- 167 MB
- SHA256:
- af1fb3f86a8b2963231c5aed757bb4690098caa930afecccfcab0738c647c294
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