Magicflow

About Magicflow

A Workspace for Gen-AI Image Experimentation

Magicflow is an advanced platform for generating, testing, and evaluating AI-generated images at scale. Designed for individuals and teams working with generative models like ComfyUI, Stable Diffusion, and others, it helps users find optimal prompts and model settings quickly and efficiently.

Trusted by Creators and AI Teams Worldwide

From indie AI artists to enterprise teams, Magicflow provides the tools needed to streamline prompt engineering, visualize outputs at scale, and collaborate on creative or model development projects.

How Magicflow Works

Generate Images in Bulk

Magicflow supports bulk image generation using multiple AI models. Users can upload datasets, create batch prompts, and run inference across different models simultaneously.

• Compatible with ComfyUI, A1111, Replicate
• Support for custom Python code and APIs
• Full inference dataset support

Evaluate Outputs Efficiently

Visualize thousands of generated images with ease. Use advanced visual analysis features like XYZ grids, quality filters, and side-by-side comparisons to determine the most effective prompts and model configurations.

• Custom rating system
• Prompt challenge evaluations
• In-depth metadata logging for every image

Collaborate as a Team

Magicflow is built for collaborative workflows. Invite team members to rate, label, and comment on images in real time. Share visual results internally or externally with links and access controls.

Core Features

Prompt Testing & Optimization

Run multiple prompt variants and monitor performance visually. Perfect your prompt engineering with data-backed insights.

Visual Dataset Management

Keep all your image generations organized. Every image is saved with full metadata and tied to the project, making repeat testing and improvement simple.

Centralized Evaluation

Outsource image evaluations or perform them in-house using Magicflow’s built-in Q/A workflows. Automate scoring processes and generate reports from visual data.

Model Showcases & Comparisons

Explore curated showcases comparing model performance across tasks. From SD3 Medium vs. Large to prompt sensitivity tests, see how models behave under real-world use.

Who Should Use Magicflow

Creative Professionals

Streamline the creative process and generate high-quality visuals faster. Compare styles, outputs, and variations with visual feedback loops.

ML Researchers and Developers

Benchmark new models, test prompt effectiveness, and run qualitative evaluations of generative performance.

Product Teams & Startups

Deploy Magicflow to refine user-facing Gen-AI features, iterate on visuals, and bring models into production faster with data-driven testing.

Agencies and Studios

Collaborate on design iterations, gather feedback, and maintain visual quality across large campaigns or design sets.

Model and Dataset Highlights

• Stable Diffusion 3 Medium & Large
• Flux — optimized for personal/local use
• PuLID — ID customization model
• Face to Many — face-based multi-style transformation

Explore datasets by category, including styles, environments, and image quality levels to tailor your testing scope.

Why Choose Magicflow

• Bulk Prompt & Image Testing
• Side-by-Side Model Comparison
• Integrated with Popular Tools
• Team Collaboration Tools Built In
• Metadata-Rich Storage and Replay
• Custom Automation and Python Support