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
Upload 2 files
Browse filesAdd example input image and mask
- .gitattributes +1 -0
- images/dog.png +3 -0
- images/dog_mask.png +0 -0
.gitattributes
CHANGED
|
@@ -52,3 +52,4 @@ diffusion_pytorch_model.safetensors filter=lfs diff=lfs merge=lfs -text
|
|
| 52 |
3_compressed.png filter=lfs diff=lfs merge=lfs -text
|
| 53 |
5_compressed.png filter=lfs diff=lfs merge=lfs -text
|
| 54 |
sd3_compressed.png filter=lfs diff=lfs merge=lfs -text
|
|
|
|
|
|
| 52 |
3_compressed.png filter=lfs diff=lfs merge=lfs -text
|
| 53 |
5_compressed.png filter=lfs diff=lfs merge=lfs -text
|
| 54 |
sd3_compressed.png filter=lfs diff=lfs merge=lfs -text
|
| 55 |
+
images/dog.png filter=lfs diff=lfs merge=lfs -text
|
images/dog.png
ADDED
|
Git LFS Details
|
images/dog_mask.png
ADDED
|