Instructions to use B4100/shootz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use B4100/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("TheRaf7/ultra-real-wan2.2", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("B4100/shootz") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
File size: 547 Bytes
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tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
widget:
- output:
url: >-
images/Firefly_gpt-image_Full body shot, young woman age 23, cool
porcelain skin, jet black hair blunt at the 482179.png
text: '-'
base_model: TheRaf7/ultra-real-wan2.2
instance_prompt: null
---
# shootz
<Gallery />
## Model description
sh00tz, very romantic, transition blur screen, liquid cum, realistic, excellent quality.
## Download model
[Download](/B4100/shootz/tree/main) them in the Files & versions tab.
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