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strkyyy/anime-shounen-action
anime-shounen-action is a text-to-image model from strkyyy. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as openrail++.
This LoRA model captures the essence of modern shounen action anime, featuring dynamic poses, dramatic speed lines, intense facial expressions, vivid colors, sharp cel shading, motion blur, and impact effects. Use the…
Downloads · 30 days
56
32% of all-time downloads
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.safetensors93.1 MB · 88%
From the Hugging Face model README
This LoRA model captures the essence of modern shounen action anime, featuring dynamic poses, dramatic speed lines, intense facial expressions, vivid colors, sharp cel shading, motion blur, and impact effects.
Use the trigger word 'sh0un3n' in your prompts. A suggested strength setting between 0.6 and 1.0 is optimal for this LoRA. Recommended sampler settings vary but a higher step count (around 50) can enhance detail and sharpness.
sh0un3n ninja in mid-jump, moonlit night, dramatic shadows, sharp cel shading
sh0un3n cityscape at dawn, neon lights flickering, dynamic diagonal composition, motion blur
sh0un3n sword floating in the air, mystical aura swirling around it, soft light and dark contrast
sh0un3n hero breaking through stone walls, intense expression, bold lines and colors, impact effect
sh0un3n stormy sky with lightning, isolated portrait of a protagonist, deep blue tones, dramatic lighting
sh0un3n abstract background with speed lines, vibrant color palette, energetic composition
Activate with sh0un3n. Recommended strength: 0.9.

diffusersfrom diffusers import AutoPipelineForText2Image
import torch
pipe = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("strkyyy/anime-shounen-action")
image = pipe("sh0un3n, your prompt", num_inference_steps=30).images[0]