Instructions to use profpeng/shootz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use profpeng/shootz 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/shootz") prompt = "Screenshot" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
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/shootz")
prompt = "Screenshot"
image = pipe(prompt).images[0]shootz

- Prompt
- Screenshot
Model description
Main Prompt: sh00tz, just a few cumshots from random guys before going back home.
Negative prompt: slow motion, gaudy, overexposed, blurred details, captions, style, artwork, painting, still, overall gray, low quality, JPEG compression residue, mutilated, poorly drawn faces, deformed, disfigured, malformed limbs, still image, 3d rendering, video games, hidden, lowres, draft, slowly, mediocre, cartoon, static, immobile, amputation, bad anatomy, background changes, topless, nude, naked, porn, erotic, censored, restricted
Download model
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Model tree for profpeng/shootz
Base model
Wan-AI/Wan2.2-I2V-A14B