Instructions to use nitrosocke/redshift-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nitrosocke/redshift-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nitrosocke/redshift-diffusion", 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 redshift-diffusion-v1.safetensors from nitrosocke/redshift-diffusion: direct link, hf CLI and curl.
- Browser
- Download file 2.13 GB
-
https://huggingface.co/nitrosocke/redshift-diffusion/resolve/refs%2Fpr%2F27/redshift-diffusion-v1.safetensors
- Command line
-
hf download hf://nitrosocke/redshift-diffusion@refs/pr/27/redshift-diffusion-v1.safetensors
-
curl -L -o redshift-diffusion-v1.safetensors https://huggingface.co/nitrosocke/redshift-diffusion/resolve/refs%2Fpr%2F27/redshift-diffusion-v1.safetensors
2.13 GB
- Xet hash:
- 5a8a3766a6dfccf056324bd05209ba0838dea7527123cf0e5427b1872fa202ff
- Size of remote file:
- 2.13 GB
- SHA256:
- 15e2e4e8c89cd616f98fef7cfb7155cdecd4dbed91769fd14ee717f43719eef1
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