Instructions to use gdvstd/casual-style-sketch-sd3-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gdvstd/casual-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/casual-style-sketch-sd3-lora") prompt = "sks sketch" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- e2e8bbfef00edb68e779f5ab86c1e3e359dda76242861eacbf5748f5f9e8b494
- Size of remote file:
- 988 Bytes
- SHA256:
- 95b3f97de021b4dfaafb3bcc4e3a78bc08b6242629a13820e0d12af554bed811
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.