Instructions to use ConfettiIII/trained-sd3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ConfettiIII/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("ConfettiIII/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:
- af37f6e8429a66b0cf1defd928501e898da3a8b3bc330d2acf91244f32e560f6
- Size of remote file:
- 14.3 kB
- SHA256:
- b61311a83046fd3ebb1b20a5c7752881ed7b470419fd4dd3c92bb84e322d2d32
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