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
File size: 283 Bytes
caf5b76 16d5264 9a09923 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ---
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 |