Instructions to use MoritzAMLLaura/trained-sd3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MoritzAMLLaura/trained-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("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MoritzAMLLaura/trained-sd3-lora") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b6fe0b698a46522afafe8518e9f33c2a9409f27d94e872016f1e835dcc2ffa2f
- Size of remote file:
- 19.1 MB
- SHA256:
- 7d0eeb942dddf89da1f72330053abe18c2258006eb17daaee91990edf887476d
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