Instructions to use satpalsr/customsd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use satpalsr/customsd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("satpalsr/customsd", 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 checkpoint-100/optimizer.bin from satpalsr/customsd: direct link, hf CLI and curl.
- Browser
- Download file 10.6 GB
-
https://huggingface.co/satpalsr/customsd/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://satpalsr/customsd/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/satpalsr/customsd/resolve/main/checkpoint-100/optimizer.bin
10.6 GB
- Xet hash:
- a36547ad046575e55b7be2d6b3c1d678caa74d19546811fffcff1b27d0421f51
- Size of remote file:
- 10.6 GB
- SHA256:
- 9b1d637ded190137db5a34d338e595ec0fc8d1ea2a1e244bb27f1476c724de9a
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