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
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]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
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Base model
Wan-AI/Wan2.2-I2V-A14B