Instructions to use NO8D/ImagingControl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NO8D/ImagingControl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NO8D/ImagingControl", dtype=torch.bfloat16, device_map="cuda") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -51,6 +51,8 @@ Model description
|
|
| 51 |

|
| 52 |
### Control to the neon by adjusting weights
|
| 53 |

|
|
|
|
|
|
|
| 54 |
|
| 55 |
# Continuously updating
|
| 56 |
|
|
|
|
| 51 |

|
| 52 |
### Control to the neon by adjusting weights
|
| 53 |

|
| 54 |
+
coming soon [Early Access](https://www.patreon.com/posts/imaging-control-158935487?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link)
|
| 55 |
+

|
| 56 |
|
| 57 |
# Continuously updating
|
| 58 |
|