Instructions to use SidXXD/coarse-grain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/coarse-grain with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/coarse-grain", dtype=torch.bfloat16, device_map="cuda") prompt = "None" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/coarse-grain: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/coarse-grain/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/coarse-grain/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/coarse-grain/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- 05fda535633ce6d4aef38c4961aeecfe1c1f0228f5df12939b16fd5570a5cb75
- Size of remote file:
- 76.7 MB
- SHA256:
- 816c1b46fb1b0646c073bf7ad08e8572baf95f6b57dd1c47e90b794942814a3d
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