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 text_encoder/pytorch_model.bin from uf/henmixreal-v4: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/uf/henmixreal-v4/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://uf/henmixreal-v4/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/uf/henmixreal-v4/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 28a0c713e0d0fc6f588031cd22e394e99de08a1d35655ab3f2cf9a480680585d
- Size of remote file:
- 492 MB
- SHA256:
- a4e060173fab17f7cf6b35991a1e261967043f4807c085fda017fe172a7dfad7
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