Instructions to use ThiennNguyen/ControlNet_Finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ThiennNguyen/ControlNet_Finetuning with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("ThiennNguyen/ControlNet_Finetuning") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
60b4b4d
1
Parent(s): 970c3d4
Update README.md
Browse files
README.md
CHANGED
|
@@ -11,7 +11,7 @@ tags:
|
|
| 11 |
inference: true
|
| 12 |
---
|
| 13 |
|
| 14 |
-
# controlnet-ThiennNguyen/
|
| 15 |
|
| 16 |
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
|
| 17 |
You can find some example images below.
|
|
|
|
| 11 |
inference: true
|
| 12 |
---
|
| 13 |
|
| 14 |
+
# controlnet-ThiennNguyen/ControlNet_Finetuning
|
| 15 |
|
| 16 |
These are controlnet weights trained on runwayml/stable-diffusion-v1-5 with new type of conditioning.
|
| 17 |
You can find some example images below.
|