Instructions to use CinnabonMan/huh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CinnabonMan/huh with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CinnabonMan/huh", 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 CinnabonMan/huh: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/CinnabonMan/huh/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://CinnabonMan/huh@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/CinnabonMan/huh/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 959d3f01b7921450e3b47a39591f7de1f65e1970200c18a753dcb9afb0fee704
- Size of remote file:
- 246 MB
- SHA256:
- 5f5149345f29f5284c3757f0641c68903467c65d8a91ce9d9368032ef687ff5b
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