Instructions to use SidXXD/Baroque-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/Baroque-3 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/Baroque-3", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> painting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_custom_diffusion_weights.bin from SidXXD/Baroque-3: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/Baroque-3/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/Baroque-3/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/Baroque-3/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- a02375253302373287ac6be6ef949ee41df97ab4ebf2e144c4b962fd681e0ba7
- Size of remote file:
- 76.7 MB
- SHA256:
- e351ad3e4d068baa2a9ee36bba3e8414cd6b0f539c52f66c64c8b3327268531e
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