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 Settings
- Draw Things
- DiffusionBee
| license: apache-2.0 | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| tags: | |
| - art | |
| - control_net | |
| # LooseControlNet | |
| Please refer to Github [repo](https://github.com/GempollAI/LooseControlNet) for more details. | |
| Made by AI R&D at Gempoll with ❤️ | |
| ## License | |
| Apache 2.0 |