Instructions to use Faitlesses/toyboy.beta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Faitlesses/toyboy.beta 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("Faitlesses/toyboy.beta") prompt = "Photograph of a young, fit, nude man with a circumcised, erect penis, standing in a dimly lit room. He has a light skin tone, short brown hair, and a slight smile. The image is taken from a low angle, emphasizing his muscular physique and genitals. His penis is prominently displayed, with visible veins and a shiny, wet appearance. The background is blurred with warm lighting, creating a bokeh effect. The camera settings appear to be a high-resolution DSLR with a wide aperture for the shallow depth of field." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Add generated example
#1
by Faitlesses - opened
Generated example for model Faitlesses/toyboy.beta.
Prompt: Photograph of a young, fit, nude toyboyy male standing in front of a mirror, taking a selfie. He is naked, big erect penis, tattoos on body, high-contrast scene, reminiscent of the bold and provocative style of director Gaspar Noé, professional gay porn photography, nsfw, detailed naked body and penis, erection, erect penis
Faitlesses changed pull request status to merged