Instructions to use AIRDGempoll/LooseControlNet with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIRDGempoll/LooseControlNet with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIRDGempoll/LooseControlNet", 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
Commit ·
9a09923
1
Parent(s): 16d5264
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,4 +5,14 @@ pipeline_tag: text-to-image
|
|
| 5 |
tags:
|
| 6 |
- art
|
| 7 |
- control_net
|
| 8 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 5 |
tags:
|
| 6 |
- art
|
| 7 |
- control_net
|
| 8 |
+
---
|
| 9 |
+
|
| 10 |
+
# LooseControlNet
|
| 11 |
+
|
| 12 |
+
Please refer to Github [repo](https://github.com/GempollAI/LooseControlNet) for more details.
|
| 13 |
+
|
| 14 |
+
Made by AI R&D at Gempoll with ❤️
|
| 15 |
+
|
| 16 |
+
## License
|
| 17 |
+
|
| 18 |
+
Apache 2.0
|