Instructions to use uf/henmixreal-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use uf/henmixreal-v4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("uf/henmixreal-v4", 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 uf/henmixreal-v4: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/uf/henmixreal-v4/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://uf/henmixreal-v4/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/uf/henmixreal-v4/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 03bb6ca83407247e01608ac7455ec735e33c710e97185e7cb1cff862f2473cd0
- Size of remote file:
- 335 MB
- SHA256:
- e1f98982bb5dfef2bbbad2fd438c8805d73a522607a690d5d37b2b768749d971
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