Instructions to use sd-dreambooth-library/rage3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/rage3 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/rage3", 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/rage3: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/sd-dreambooth-library/rage3/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sd-dreambooth-library/rage3@refs/pr/2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sd-dreambooth-library/rage3/resolve/refs%2Fpr%2F2/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- ab94970bb6baf717742bcf6ba22c48b1a170a74a7323271f791dca90a3031912
- Size of remote file:
- 246 MB
- SHA256:
- 1367743da96e121500f82c09ba1b833e2e0e7ed15222d3d7bc1bbfe2b47246d4
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