Instructions to use sd-dreambooth-library/seraphm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sd-dreambooth-library/seraphm 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/seraphm", 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/seraphm: direct link, hf CLI and curl.
- Browser
- Download file 492 MB
-
https://huggingface.co/sd-dreambooth-library/seraphm/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sd-dreambooth-library/seraphm/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sd-dreambooth-library/seraphm/resolve/main/text_encoder/pytorch_model.bin
492 MB
- Xet hash:
- 013e1ea93b4e778a4803fd057eec2d5f3968c3bd2c29214e325179bfbf4cda30
- Size of remote file:
- 492 MB
- SHA256:
- 796b795cdd7d730aec8b511ffda935286c6667c9d911f6b1dabec0429ac572ca
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