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:
- c9e8d7fe37461b34a25068230c9f1913840249470435c3b0e5d0aa38fe3dc17a
- Size of remote file:
- 1.61 MB
- SHA256:
- 53b5627c0468136cd7c1a16dfa270fb7db30b0652b878876aeb2f136400eefc9
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