Instructions to use SEVUNX/joydiffusion_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SEVUNX/joydiffusion_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SEVUNX/joydiffusion_diffusers", 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.bin from SEVUNX/joydiffusion_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/SEVUNX/joydiffusion_diffusers/resolve/978fca70b1ac777b2ff39d5cc231ef23dc1ec6fe/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://SEVUNX/joydiffusion_diffusers@978fca70b1ac777b2ff39d5cc231ef23dc1ec6fe/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/SEVUNX/joydiffusion_diffusers/resolve/978fca70b1ac777b2ff39d5cc231ef23dc1ec6fe/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- c279e6e28a0819efb1fdda086c34db6e7beae8820e9d6f4246abe0763a59abf1
- Size of remote file:
- 335 MB
- SHA256:
- dff3846a71c5b7cae7fc73baaf9d34a203a5028affe8aa8ac870ab4bfb386238
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