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 text_encoder/model.fp16.safetensors from RunDiffusion/RunDiffusion-XL-Beta: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/RunDiffusion/RunDiffusion-XL-Beta/resolve/main/text_encoder/model.fp16.safetensors
- Command line
-
hf download hf://RunDiffusion/RunDiffusion-XL-Beta/text_encoder/model.fp16.safetensors
-
curl -L -o model.fp16.safetensors https://huggingface.co/RunDiffusion/RunDiffusion-XL-Beta/resolve/main/text_encoder/model.fp16.safetensors
246 MB
- Xet hash:
- c83b096b971113844c04d2fcdd3c8ef951a1ab0fd5f11ca427c9804491767229
- Size of remote file:
- 246 MB
- SHA256:
- cff329c6333d2c03f1aa622606ff45c38acbacd4f9a234096d54f6068a2155bb
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.