Instructions to use richiebailey/subpar1_sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use richiebailey/subpar1_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/subpar1_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/subpar1_sd15: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/richiebailey/subpar1_sd15/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://richiebailey/subpar1_sd15/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/richiebailey/subpar1_sd15/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- 4c51b7fa94e59eacb0d0df6053c92b38a0cefc9fde7423f320678caf1f0c3941
- Size of remote file:
- 335 MB
- SHA256:
- 7ba3dccf358f94b5ff9f06027b1b7066d505653ba7a70206e17368b0fbf38830
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