Instructions to use KeoooDev/andykeoo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use KeoooDev/andykeoo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("KeoooDev/andykeoo", torch_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: creativeml-openrail-m | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| ### andykeoo Dreambooth model trained by KeoooDev with [buildspace's DreamBooth](https://colab.research.google.com/github/buildspace/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb) notebook | |
| Build your own using the [AI Avatar project](https://buildspace.so/builds/ai-avatar)! | |
| To get started head over to the [project dashboard](https://buildspace.so/p/build-ai-avatars). | |
| Sample pictures of this concept: | |
| key words andykeoo man |