Instructions to use lovelyjaban/trained-sd3-lora-test2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lovelyjaban/trained-sd3-lora-test2 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-test2") prompt = "A photo of a t-shirt with hmwrks drawing style" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 8ef1113a1a83c50b8485dd913c097617d554b1338e8f26a5427e2fd9db3720a2
- Size of remote file:
- 9.6 MB
- SHA256:
- bae883a120b4a6bf162f23350e58c984c1949bab845d9f87872289246d47ce1f
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