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:
- a2ced04773b08f3953db0fdf1ef658636ec6ceeec6873ac8e1e3176a0b4062e0
- Size of remote file:
- 222 MB
- SHA256:
- 0c6d71f9041b47b1c00bd4175259076071419332719a4a405b1e49df0ead9250
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