Instructions to use Jonjew/Handjob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Jonjew/Handjob 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("Jonjew/Handjob") prompt = "with pink nipples. A man, possibly semen, explicit scene. The central focus is on a nude woman and a nude man. The woman, with light skin and visible tan lines, with her mouth open and tongue extended, revealing a nude man's erect penis, The image is a high-resolution photograph depicting a sexually explicit scene. The central focus is on a woman with fair skin and long" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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("Jonjew/Handjob")
prompt = "with pink nipples. A man, possibly semen, explicit scene. The central focus is on a nude woman and a nude man. The woman, with light skin and visible tan lines, with her mouth open and tongue extended, revealing a nude man's erect penis, The image is a high-resolution photograph depicting a sexually explicit scene. The central focus is on a woman with fair skin and long"
image = pipe(prompt).images[0]Not-For-All-Audiences
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