Instructions to use profpeng/bjtease with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/bjtease with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Wan-AI/Wan2.2-I2V-A14B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("profpeng/bjtease") prompt = "sensualBJ. She sucks and kisses the penis, sensualBJ. She licks the tip of the penis before opening her mouth to take the head inside, sensualBJ. She is sliding her mouth down the shaft of the penis with her tongue extended, sensualBJ. She is licking the shaft of the penis with long, deliberate strokes of her tongue." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
bjtease
- Prompt
- sensualBJ. She sucks and kisses the penis, sensualBJ. She licks the tip of the penis before opening her mouth to take the head inside, sensualBJ. She is sliding her mouth down the shaft of the penis with her tongue extended, sensualBJ. She is licking the shaft of the penis with long, deliberate strokes of her tongue.
Trigger words
You should use sensualBJ to trigger the image generation.
Download model
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Model tree for profpeng/bjtease
Base model
Wan-AI/Wan2.2-I2V-A14B