Instructions to use alimama-creative/SD3-Controlnet-Inpainting with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alimama-creative/SD3-Controlnet-Inpainting with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alimama-creative/SD3-Controlnet-Inpainting", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
apache-2.0 license?
#3
by dada111 - opened
Hello, thanks for great job with this model results seems to be very good, but I have a question about license aren't SD3 license (stabilityai-ai-community) in conflict with apache-2.0 license used in your repo, or this modes are fully trained from scratch and don't use SD3 data and code?
Thank you for your suggestion. I overlooked this aspect. The agreement will indeed follow the SD3 license, and I have noted this in the README.
ljp changed discussion status to closed