Instructions to use gleebergoob/bjbj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gleebergoob/bjbj 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("gleebergoob/bjbj") prompt = "woman, blowjob, open mouth, man, penis juliapunke (masterpiece, best quality) 21yo woman, petite, blowjob, open mouth, veiny penis, pale skin, detailed eyes," 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("gleebergoob/bjbj")
prompt = "woman, blowjob, open mouth, man, penis juliapunke (masterpiece, best quality) 21yo woman, petite, blowjob, open mouth, veiny penis, pale skin, detailed eyes,"
image = pipe(prompt).images[0]bjbj
- Prompt
- woman, blowjob, open mouth, man, penis juliapunke (masterpiece, best quality) 21yo woman, petite, blowjob, open mouth, veiny penis, pale skin, detailed eyes,
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for gleebergoob/bjbj
Base model
black-forest-labs/FLUX.1-dev