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:
- 6198b460b14d02db8fa1109ec0070814e7408a5af37ca7709ad3036cfde73545
- Size of remote file:
- 770 kB
- SHA256:
- 3c9131395715da62128db8d04be1e93465e7061b76907a476672102d7984e842
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