Instructions to use SidXXD/path-to-save-model-multi-5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/path-to-save-model-multi-5 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/path-to-save-model-multi-5", 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/path-to-save-model-multi-5: direct link, hf CLI and curl.
- Browser
- Download file 76.7 MB
-
https://huggingface.co/SidXXD/path-to-save-model-multi-5/resolve/main/pytorch_custom_diffusion_weights.bin
- Command line
-
hf download hf://SidXXD/path-to-save-model-multi-5/pytorch_custom_diffusion_weights.bin
-
curl -L -o pytorch_custom_diffusion_weights.bin https://huggingface.co/SidXXD/path-to-save-model-multi-5/resolve/main/pytorch_custom_diffusion_weights.bin
76.7 MB
- Xet hash:
- 462e9113c51a7267df9235d8c25c670b90a3b635a26387eed68dfb3419a8e4b3
- Size of remote file:
- 76.7 MB
- SHA256:
- 8e46f4ea5a18e414614f06ceb7ce4423d8a2690281397f92d0425e011d9582b0
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