Instructions to use sd-dreambooth-library/dulls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/dulls 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/dulls", 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/dulls: direct link, hf CLI and curl.
- Browser
- Download file 681 MB
-
https://huggingface.co/sd-dreambooth-library/dulls/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sd-dreambooth-library/dulls/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sd-dreambooth-library/dulls/resolve/main/text_encoder/pytorch_model.bin
681 MB
- Xet hash:
- b608934b7e6b5f0a6433b653ae4aa8e3b7aa9044fdee20fae7d0954d82f3092b
- Size of remote file:
- 681 MB
- SHA256:
- c6e2ea117399daadbc07a9cc259e63fa48f79a74f3e08cb31c29d7d3b40267f0
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