Instructions to use Matelefy/pplay with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Matelefy/pplay with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("DervlexVenice/wan2.2_t2v_flux.1_d_xl_1.5_2b_yorha_no.2_type_b_nier_automata-character-flux", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Matelefy/pplay") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
p_play

- Prompt
- -
Trigger words
You should use A woman is engaged in enthusiastic penis worshipping to trigger the image generation.
You should use holding the erect penis and moving it close to her face. She licks the shaft to trigger the image generation.
You should use with close-up camera angles focusing on her face and the act. A woman performs penis worshipping to trigger the image generation.
You should use holding a large to trigger the image generation.
You should use erect penis with both hands and bringing it towards her face. She is licking the shaft to trigger the image generation.
You should use smiling. She continues to kiss and suck the penis to trigger the image generation.
You should use then rubs it on her face. Camera is focused from a low to trigger the image generation.
You should use upward angle. to trigger the image generation.
Download model
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