Instructions to use Ching2602/shootz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Ching2602/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("Ching2602/shootz") prompt = "Screenshot" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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Download README.md from Ching2602/shootz: direct link, hf CLI and curl.
- Browser
- Download file 904 Bytes
-
https://huggingface.co/Ching2602/shootz/resolve/main/README.md
- Command line
-
hf download hf://Ching2602/shootz/README.md
-
curl -L -o README.md https://huggingface.co/Ching2602/shootz/resolve/main/README.md
904 Bytes
metadata
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: images/Screenshot 2026-03-08 at 3.56.18 PM.png
text: Screenshot
base_model: Wan-AI/Wan2.2-I2V-A14B
instance_prompt: null
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
Download them in the Files & versions tab.