Instructions to use viktfb/dreambooth-sd3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use viktfb/dreambooth-sd3-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("viktfb/dreambooth-sd3-lora", dtype=torch.bfloat16, device_map="cuda") prompt = "A photo of sks Angelarium holding a sword" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_1.png from viktfb/dreambooth-sd3-lora: direct link, hf CLI and curl.
- Browser
- Download file 1.13 MB
-
https://huggingface.co/viktfb/dreambooth-sd3-lora/resolve/main/image_1.png
- Command line
-
hf download hf://viktfb/dreambooth-sd3-lora/image_1.png
-
curl -L -o image_1.png https://huggingface.co/viktfb/dreambooth-sd3-lora/resolve/main/image_1.png
1.13 MB

- Xet hash:
- 77fc3d9d2ff1675fdc107438713afc756a4f7fac944fbf531eedf06f18ae1c2a
- Size of remote file:
- 1.13 MB
- SHA256:
- a5605c8145cfba372015405df8700bc69eef78d85a745bb50fbd8b8dad7592e0
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