README.md

metadata

title: Chroma
emoji: 🔥
colorFrom: blue
colorTo: pink
sdk: gradio
sdk_version: 5.14.0
app_file: app.py
pinned: true
license: apache-2.0

Chroma Image Generator

A Gradio app for generating images using the Chroma model by lodestones.

Features

• High-quality image generation using the Chroma model
• Customizable parameters: width, height, steps, CFG scale, and seed
• Pre-cached examples for instant preview and testing
• Professional UI with Gradio interface

Example Prompts

The app includes 11 pre-configured example prompts with optimized parameters:

1. High-fashion portrait with anaglyph 3D effect
2. Young man with captain's hat and sunglasses
3. Shiba Inu with captain's hat and sunglasses
4. Impressionistic sailing painting
5. Anthro wolf in forest setting
6. Dragon with galaxy wings over castle
7. Anthro dog in NYC apartment
8. Leopard geckos collage
9. Anthro wolf plushie collage
10. Telegram sticker anthro fox
11. Tiger eye with 'Chroma' text overlay

Caching

The app uses Gradio's built-in cache_examples=True feature to pre-generate and cache all example images. This means:

• Instant results when clicking on examples
• No waiting time for cached examples
• Automatic cache management by Gradio
• Faster user experience for trying different prompts

Usage

1. Manual input: Enter your own prompt and adjust parameters
2. Use examples: Click on any example to load it instantly
3. Customize: Modify example prompts to create variations
4. Generate: Click the Generate button to create new images

Parameters

• Prompt: Describe what you want to generate
• Negative Prompt: Describe what you want to avoid
• Width/Height: Image dimensions (512-2048px)
• Steps: Number of denoising steps (1-50)
• CFG Scale: How closely to follow the prompt (1-20)
• Seed: Random seed for reproducible results (-1 for random)

Technical Details

• Built with Gradio for the web interface
• Uses ComfyUI workflow backend
• Powered by Chroma diffusion model
• Supports GPU acceleration with Spaces
• Automatic caching for optimal performance

Running Locally

python app.py

The app will start and be available at http://localhost:7860

Cache Directory

Examples are cached in the gradio_cached_examples directory. To rebuild the cache (if examples change), delete this directory and restart the app.

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference