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
Why is the test result inconsistent with your provided?
#18 opened 8 months ago
by
wsmumumu
Input type (torch.cuda.HalfTensor) and weight type (torch.HalfTensor) should be the same
#17 opened about 1 year ago
by
aniket2025
Using multiple ControlNets at the same time error
#16 opened over 1 year ago
by
Haradai
Any plan to support SD3.5 large?
🔥 2
#15 opened over 1 year ago
by
yinianlw
why only training 20k steps
#13 opened over 1 year ago
by
shang106121
error downloading
1
#9 opened over 1 year ago
by
Zafaflahfksdf
About training code
35
#8 opened almost 2 years ago
by
CaptainZZZ