Instructions to use gdvstd/rough-style-sketch-sd3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gdvstd/rough-style-sketch-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("gdvstd/rough-style-sketch-sd3-lora") prompt = "sks sketch" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 159abf4c9f5f0289b1b0a469a551898a289e44f5c0dae932fc64e66b3aee2bd6
- Size of remote file:
- 9.6 MB
- SHA256:
- 526581ca6647965fc6ecd383ad402260135a2e11a5f829d334d7b7fb1ebdcf59
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.