Instructions to use llrt/trained-sd3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use llrt/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("llrt/trained-sd3-lora") 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:
- 05259c262bf64b33e06fe52a60853d33919a6380d8f417f15da9e5add84985c1
- Size of remote file:
- 1.28 MB
- SHA256:
- ea379e9766bf5ad03b83c77a7d0f7c950de75c38b556f676b103f44d50a0a7ce
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