Advanced Image Workflows: Multi-Model Strategies

Last updated: April 25, 2026.

The main advantage of magicdoor.ai's image stack is not one single model. It is the ability to move between cheap generation, premium generation, editing, higher-resolution output, and upscaling without leaving the workflow.

For the full model list and current prices, see the image model comparison and model cost guide.

Current image costs used in these workflows

The useful workflow pattern

Most strong image workflows follow the same shape:

1. Explore cheaply
2. Refine with the right specialist
3. Edit only what needs changing
4. Upscale at the end

Workflow 1: Concept to polished final

Step 1: Explore directions

Use Seedream 4.5 or Google Nano Banana 2 to generate multiple compositions quickly and cheaply.

Step 2: Refine the winner

• Use Flux 2 Pro if the final image should look realistic.
• Use ChatGPT Image 2 if you want the OpenAI image workflow or editing with up to 4 input images.
• Use Recraft V4 if the result should feel more designed or illustrative.
• Use Imagen 4 if you want a clean presentation-style output without editing support.

Step 3: Make targeted changes

If the image is close but not done, switch to Flux.1 Kontext Pro and edit the approved version instead of regenerating everything. For a fast single-image edit, Google Nano Banana 2 is also a low-cost option.

Step 4: Upscale

Use Recraft Upscaler only once the content is final. If you need higher-resolution generation before that final step, use Google Nano Banana Pro (2K).

Workflow 2: Brand and marketing assets

Use Recraft V4 for design-led assets

Use Recraft V4 for illustrations, ad graphics, social visuals, or assets where layout and style consistency matter more than photorealism.

Use a second model for hero imagery

• Flux 2 Pro for realistic campaign visuals
• Imagen 4 for polished clean imagery
• ChatGPT Image 2 when you want the OpenAI image path
• Google Nano Banana Pro (2K) when a higher-resolution source helps

Edit approved assets instead of restarting

Use Flux.1 Kontext Pro to change colors, swap backgrounds, remove objects, or update details without rebuilding the whole image set.

Workflow 3: Product and ecommerce visuals

Start with realism

Use Flux 2 Pro or ChatGPT Image 2 for the first pass on product-style images. If you are still testing layouts, start with Seedream 4.5 or Google Nano Banana 2 first.

Clean up specific details

Use Flux.1 Kontext Pro when the product is correct but the background, props, or composition need revision.

Create supporting graphics separately

If you also need banners, promos, or lighter graphic elements, create those in Recraft V4 rather than forcing a realism-first model to do design work.

Workflow 4: Fast turnaround under a budget

1. Generate first passes with Seedream 4.5.
2. Keep only the strongest concept.
3. If needed, rerun that one concept on Google Nano Banana 2, Flux 2 Pro, Recraft V4, or ChatGPT Image 2.
4. Use Flux.1 Kontext Pro for focused edits.
5. Upscale instead of regenerating if the only issue is size.

Model roles at a glance

• Seedream 4.5: cheap exploration
• Google Nano Banana 2: quick all-round generation and editing
• Google Nano Banana Pro (2K): higher-resolution generation
• Flux 2 Pro: realism
• ChatGPT Image 2: premium OpenAI image workflow
• Imagen 4: clean polished visuals
• Recraft V4: design-led work
• Flux.1 Kontext Pro: targeted edits
• Recraft Upscaler: final resolution boost

Common mistakes

• Spending premium-model budget before the direction is settled.
• Editing by regeneration instead of using a targeted editing model.
• Using realism-first models for graphic-design tasks.
• Upscaling too early, before the image is approved.
• Using ChatGPT Image 2 for every draft when cheaper models would establish the direction first.

Bottom line

The best multi-model workflow is usually the simplest one:

• cheap model first,
• specialist second,
• edit third,
• upscale last.

That is what keeps both quality and cost under control on magicdoor.ai.