Instructions to use jianqunZ/SD3_1H with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jianqunZ/SD3_1H with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jianqunZ/SD3_1H", 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
Download optimizer.bin from jianqunZ/SD3_1H: direct link, hf CLI and curl.
- Browser
- Download file 16.2 GB
-
https://huggingface.co/jianqunZ/SD3_1H/resolve/main/optimizer.bin
- Command line
-
hf download hf://jianqunZ/SD3_1H/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/jianqunZ/SD3_1H/resolve/main/optimizer.bin
16.2 GB
- Xet hash:
- 20605ce2d553484d0472375f26a8dd86a83b24f2d58f2f1857469284e6c1604a
- Size of remote file:
- 16.2 GB
- SHA256:
- 3f48c26e8d9f92f8347b959bf731e622b17cedf68a4376420b32ff29a2a1f5b5
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