Instructions to use Konghao/trained-sd3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Konghao/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("Konghao/trained-sd3-lora") prompt = "a realistic photo of sks woman" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 9a6d6b6d3a3057fd140111dac2a6b55d9b2e51a0ee7a3191dc3847e8c5d42de3
- Size of remote file:
- 841 kB
- SHA256:
- a2b4844949063deb1f9d5afb81125123398bbe07e7e7c46dfa417c6e4726bc5e
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