ImageRework field notes

Guides for better AI image edits

Short, practical workflows based on the editor’s real behavior, including where generative results need careful review.

01 · Focused editing

How to Change One Part of an Image with AI Without Redoing the Whole Photo

A practical marked-area workflow, including what to preserve and when the model may still alter nearby pixels.

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02 · Workflow choice

AI Image Editor vs. Image-to-Image: Which Workflow Should You Use?

Choose based on how much of the source should remain stable and how large the intended transformation is.

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03 · Prompt method

How to Write AI Image Editing Prompts That Preserve the Rest of the Photo

Use a change–preserve–quality structure and learn which details must be stated explicitly.

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04 · Tool comparison

PhotoCraft vs Photoshop: Honest Comparison and Install

We installed the free open-source Photoshop-style editor and compared what it covers with where an AI editor is still the better tool.

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05 · Prompt pack

Vikas Edit Style Prompts: 5 Photo Edit Prompts You Can Use on Your Own Picture

Cinematic poster, neon street, heritage backdrop, monsoon mood and studio DP prompts that open straight in the editor with your photo.

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06 · Festival prompt pack

Diwali AI Photo Prompts 2026: 12 Festive Prompts for Saree, Kurta & Family Photos

Diwali 2026 prompt pack — silk saree, sherwani, rooftop sparklers, family rangoli, retro Bollywood and Diwali-abroad looks that open straight in the editor.

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07 · Local pipeline guide

Qwen Image 2.1 Turbo: 8-step workflow and image editing troubleshooting

Separate the official 8-step checkpoint from community Turbo LoRAs, compare the Diffusers and ComfyUI paths, and troubleshoot sourced skin-texture reports.

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Built from the real workflow

These guides use ImageRework’s actual upload, comparison, marked-area refinement, version, and credit rules. They explain both the useful path and the limits: markers guide rather than lock pixels, strong transformations can shift fine identity details, and important text or product features should be checked before publishing.