Instructions to use CNEFG/Graaaaaaaaaaaa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use CNEFG/Graaaaaaaaaaaa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("WIBE-HuggingFace/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("CNEFG/Graaaaaaaaaaaa") prompt = "Screenshot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/IMG_1130.png | |
| text: Screenshot | |
| base_model: WIBE-HuggingFace/stable-diffusion-2-1-base | |
| instance_prompt: Mr Zora 2 | |
| license: other | |
| license_name: other | |
| license_link: LICENSE | |
| # Fahhhhh | |
| <Gallery /> | |
| ## Model description | |
| FFFFFFFFUUUUUUUUUUUUUUUUUUU- ny | |
| ## Trigger words | |
| You should use `Mr Zora 2` to trigger the image generation. | |
| ## Download model | |
| [Download](/CNEFG/Graaaaaaaaaaaa/tree/main) them in the Files & versions tab. | |