Instructions to use sd-dreambooth-library/rdstr-wom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/rdstr-wom with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sd-dreambooth-library/rdstr-wom", 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 sd-dreambooth-library/rdstr-wom: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/sd-dreambooth-library/rdstr-wom/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sd-dreambooth-library/rdstr-wom/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sd-dreambooth-library/rdstr-wom/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- baf2dab95079138a1dec5eae99831d23fbbf2513da9254b6b8d578a3738e8925
- Size of remote file:
- 492 MB
- SHA256:
- 8905b96d6c1a590423fa4f1abdc5e4811b2f156cd48714ea3686713bb8c5fe7e
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