Instructions to use Akuvh/bj with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Akuvh/bj 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("Akuvh/bj") prompt = "Dark dragon silhouette, glowing red eyes, close up head, silhouetted against a fiery, red background, (fiery red background:1.1), filled with diagonal chains, crisscrossing chains, (high contrast lighting:1.2), (red glow:1.2), (anime), (manga-style:1.0), (digital art:1.0), (silhouette style:1.1), dynamic composition, action-oriented, (sharp focus:1.2), high detail, intense atmosphere, violent energy." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
bj-wan2.2

- Prompt
- Dark dragon silhouette, glowing red eyes, close up head, silhouetted against a fiery, red background, (fiery red background:1.1), filled with diagonal chains, crisscrossing chains, (high contrast lighting:1.2), (red glow:1.2), (anime), (manga-style:1.0), (digital art:1.0), (silhouette style:1.1), dynamic composition, action-oriented, (sharp focus:1.2), high detail, intense atmosphere, violent energy.

- Prompt
- -
Trigger words
You should use A man appears and she sucks his penis to trigger the image generation.
Download model
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