anycoder-5f028fd4 / README.md
Onise's picture
Update README.md
65c5b13 verified

A newer version of the Gradio SDK is available: 6.11.0

Upgrade
metadata
title: Anycoder 5f028fd4
emoji: 🏒
colorFrom: indigo
colorTo: blue
sdk: gradio
sdk_version: 6.6.0
app_file: app.py
pinned: false
tags:
  - anycoder

=== README.md === ```markdown

title: 🎨 Magic Wan Image V2 - Text to Image emoji: 🎨 colorFrom: indigo colorTo: purple sdk: gradio sdk_version: 6.0.2 app_file: app.py pinned: false license: apache-2.0 tags: - text-to-image - diffusers - wan - lora - image-generation - ai-art - gradio

🎨 Magic Wan Image V2 - Text to Image Generator

Generate stunning images from text prompts with Real Wan LoRA Support! This Space uses the Magic-Wan-Image-V2 model with support for various Wan-compatible LoRA adapters.

✨ Features

  • 🎭 Multiple LoRA Styles: Choose from 15+ Wan-compatible LoRA adapters including:

    • Anime/Manga Style
    • Realistic Vision
    • Oil Painting
    • Watercolor
    • Pixel Art
    • 3D Render
    • Sketch
    • Cyberpunk
    • Fantasy
    • Studio Ghibli
    • Vintage Photo
    • Pop Art
    • Minimalist
    • Horror
    • Concept Art
  • βš™οΈ Full Control: Adjust all generation parameters:

    • Width & Height (256-1024px)
    • Inference Steps (10-100)
    • Guidance Scale (1.0-20.0)
    • Seed (with randomization option)
    • LoRA Scale (0.0-2.0)
  • πŸ“š Example Prompts: Click pre-made examples to quickly test different styles

  • πŸš€ Optimized Performance: FP16 inference with CUDA acceleration when available

πŸš€ How to Use

  1. Enter your prompt: Describe the image you want to generate in the Prompt box
  2. Optional negative prompt: Specify what to avoid in the generated image
  3. Select a LoRA style: Choose from the dropdown menu (or keep "None" for base model)
  4. Adjust settings: Modify LoRA scale, dimensions, steps, and guidance as needed
  5. Click Generate: Wait for your image to be generated!

πŸ’‘ Tips for Better Results

Parameter Recommendation
Prompt Be descriptive and specific. Include style, lighting, composition details
LoRA Scale Start at 1.0, increase for stronger style effect (max 2.0)
Steps 30 steps is a good balance. More steps = better quality but slower
Guidance 7.5 is default. Higher = more prompt adherence, lower = more creative
Seed Use same seed for reproducible results, or randomize for variety

πŸ“ Example Prompts

A cyberpunk city at night, neon lights, rain, highly detailed, 8k
Portrait of a fantasy elf warrior, intricate armor, forest background
Magical library with floating books, mystical atmosphere, warm lighting
Steampunk airship flying through clouds, detailed mechanical parts

πŸ—οΈ Technical Details

Model Information

  • Base Model: Magic-Wan-Image-V2
  • Framework: Diffusers + PyTorch
  • Precision: FP16 (for faster inference)
  • LoRA Support: Full Wan-compatible LoRA adapter support

LoRA Adapters

All LoRA adapters are automatically downloaded from Hugging Face Hub on first use and cached locally. The following repositories are used:

LoRA Name Repository
Anime Style AlienKevin/Wan2.1-LoRA-Anime
Realistic Vision prithivMLmods/Wan-Realistic-LoRA
Oil Painting strangerzonehf/Wan2.1-LoRA-Oil-Painting
Watercolor strangerzonehf/Wan2.1-LoRA-Watercolor
Pixel Art strangerzonehf/Wan2.1-LoRA-Pixel-Art
3D Render prithivMLmods/Wan-3D-Render-LoRA
Sketch strangerzonehf/Wan2.1-LoRA-Sketch
Cyberpunk prithivMLmods/Wan-Cyberpunk-LoRA
Fantasy prithivMLmods/Wan-Fantasy-LoRA
Studio Ghibli AlienKevin/Wan2.1-LoRA-Ghibli
Vintage Photo strangerzonehf/Wan2.1-LoRA-Vintage
Pop Art strangerzonehf/Wan2.1-LoRA-Pop-Art
Minimalist prithivMLmods/Wan-Minimalist-LoRA
Horror prithivMLmods/Wan-Horror-LoRA
Concept Art prithivMLmods/Wan-Concept-Art-LoRA

Hardware Requirements

  • Minimum: CPU (slower generation)
  • Recommended: GPU with 8GB+ VRAM for fast generation
  • Optimal: GPU with 12GB+ VRAM for larger resolutions

πŸ“¦ Installation (Local)

To run this Space locally:

# Clone the repository
git clone https://huggingface.co/spaces/YOUR_USERNAME/magic-wan-image-v2
cd magic-wan-image-v2

# Install dependencies
pip install -r requirements.txt

# Run the app
python app.py

πŸ”— Links & Resources

πŸ“„ License

This Space is licensed under the Apache 2.0 License.

Please check the individual LoRA model licenses for their specific terms.

πŸ™ Credits

  • Base Model: @wikeeyang for Magic-Wan-Image-V2
  • LoRA Creators: Various creators on Hugging Face Hub
  • Framework: Gradio team
  • Built with: anyCoder

πŸ› Issues & Support

If you encounter any issues:

  1. Check the console logs for error messages
  2. Try reducing image resolution
  3. Ensure your prompt is not empty
  4. Report issues on the Space discussion tab

Made with ❀️ using Gradio 6

Built with anycoder | Report Issue

```