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 Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -29,6 +29,8 @@ Finetuned controlnet inpainting model based on sd3-medium, the inpainting model
|
|
| 29 |
|
| 30 |
Compared with [SDXL-Inpainting](https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1)
|
| 31 |
|
|
|
|
|
|
|
| 32 |

|
| 33 |
<center><i>a tiger sitting on a park bench</i></center>
|
| 34 |
|
|
|
|
| 29 |
|
| 30 |
Compared with [SDXL-Inpainting](https://huggingface.co/diffusers/stable-diffusion-xl-1.0-inpainting-0.1)
|
| 31 |
|
| 32 |
+
From left to right: Input image, Masked image, SDXL inpainting, Ours.
|
| 33 |
+
|
| 34 |

|
| 35 |
<center><i>a tiger sitting on a park bench</i></center>
|
| 36 |
|