Instructions to use richiebailey/subpar5_sd15 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use richiebailey/subpar5_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/subpar5_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 text_encoder/pytorch_model.bin from richiebailey/subpar5_sd15: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/richiebailey/subpar5_sd15/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://richiebailey/subpar5_sd15/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/richiebailey/subpar5_sd15/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 8f70f8f5854e07c30c2f287230164e8e15bae4e8f0976b0f91fa1cf0f4149a10
- Size of remote file:
- 492 MB
- SHA256:
- c90eefc53e059bb70220c0bfc1ddd82621e0e0279964e33d3ad7189bb3c1bafa
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