Instructions to use lovelyjaban/trained-sd3-lora-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lovelyjaban/trained-sd3-lora-test 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("lovelyjaban/trained-sd3-lora-test") prompt = "A photo of sks t-shirt" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee

- Xet hash:
- 1312049198633ec6cce03b2d6d640ccad3d9fba1d1a07a063c7963f69541541c
- Size of remote file:
- 1.79 MB
- SHA256:
- 0f966fa7e9c7084b2d5d62e68124643da832bf5f3de0270a3ccd92f65d4ab92a
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