Instructions to use DarkMoonDragon/trained-sd3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use DarkMoonDragon/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("DarkMoonDragon/trained-sd3-lora") prompt = "a photo of TOK yarn art dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0bbecadb30fdc0fbb5b6576c7db6037fc200c951a0a5e3216d909d467f75697f
- Size of remote file:
- 222 MB
- SHA256:
- bee3cbb038da72eb86db2d1c32012ab5fa03dcde84f8b20bee5baf90e577410e
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