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

- Xet hash:
- 19f4228a71ef0ea94c9a1e250b0f4cd715314499bc359b342aa90aaf14bdfdc2
- Size of remote file:
- 1.5 MB
- SHA256:
- 728eb51bacd09df03dafa8165695ef16cc6510fb6b336dae9170a15ace2e0994
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