Instructions to use HuggingVince/w3dg1e_krea2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use HuggingVince/w3dg1e_krea2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Turbo", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("HuggingVince/w3dg1e_krea2") prompt = "an amateur photo of woman wearing panty wedgie the panty elastic is pulled up over her shoulders, " image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - output: | |
| url: images/Wedgie.png | |
| text: >- | |
| an amateur photo of woman wearing panty wedgie the panty elastic is pulled | |
| up over her shoulders, | |
| - output: | |
| url: images/Wedgie.png | |
| text: >- | |
| the cencor was added in photoshop cause new account havent read TOS on | |
| nudity | |
| base_model: krea/Krea-2-Turbo | |
| instance_prompt: >- | |
| Lora works best at 0.7 strength w3dg1e that trigger word is not needed just use natural language | |
| license: other | |
| license_name: dowhateverthefkuwant | |
| license_link: LICENSE | |
| # w3dg1e | |
| <Gallery /> | |
| ## Model description | |
| Over shoulders panty wedgie | |
| ## Trigger words | |
| Lora works best at 0.7 strength w3dg1e was the consistant trigger it was trained with although not really needed in generation and can add a watermark i suspect i need to | |
| understand Krea2 training more but this does the job. just use natural language a woman wearing panty the elastic stretched up over her shoulders | |
| ## Download model | |
| [Download](/HuggingVince/w3dg1e_krea2/tree/main) them in the Files & versions tab. | |