Instructions to use Keltezaa/OrgasmFace with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Keltezaa/OrgasmFace with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Keltezaa/OrgasmFace") prompt = "Orgasm Face" 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 | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: Orgasm Face | |
| license: cc-by-nc-nd-4.0 | |
| # Orgasm Face | |
| <Gallery /> | |
| ## Model description | |
| Orgasm Face | |
| ## Trigger words | |
| You should use `Orgasm Face` to trigger the image generation. | |
| ## Download model | |
| [Download](/Keltezaa/OrgasmFace/tree/main) them in the Files & versions tab. | |