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
| 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. | |