Instructions to use Abhi5ingh/ControlnetDresscode with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Abhi5ingh/ControlnetDresscode with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("Abhi5ingh/ControlnetDresscode") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -15,6 +15,8 @@ inference: true
|
|
| 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.
|
|
|
|
|
|
|
| 18 |
prompt: hem shoulder top in navy blue
|
| 19 |

|
| 20 |
prompt: beautiful floral gown
|
|
|
|
| 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.
|
| 18 |
+
|
| 19 |
+
|
| 20 |
prompt: hem shoulder top in navy blue
|
| 21 |

|
| 22 |
prompt: beautiful floral gown
|