Instructions to use gdvstd/storyboard-sd3-lora-no-classimage with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gdvstd/storyboard-sd3-lora-no-classimage with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gdvstd/storyboard-sd3-lora-no-classimage") prompt = "sks storyboard" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- a80dca24f229c1a425b7f2982161b26ba25e3197349144583cc668e584c7dbf5
- Size of remote file:
- 2.58 MB
- SHA256:
- 081acbf3c6bf6ec6d559229928fd98220e975aee970bd81405342ae9f203ec09
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