Instructions to use richiebailey/subpar6_sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use richiebailey/subpar6_sd15 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("richiebailey/subpar6_sd15", 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 vae/diffusion_pytorch_model.bin from richiebailey/subpar6_sd15: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/richiebailey/subpar6_sd15/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://richiebailey/subpar6_sd15/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/richiebailey/subpar6_sd15/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 9308d80695a97e722d40ce3fb46948366b505d7151d98266f92c48fbf63134f1
- Size of remote file:
- 335 MB
- SHA256:
- 65586c858e2473b10d87da0c60f1a1ccff985a6008592d0e61e10a25efbe23dd
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