Multi-Model AI Image Generator: 46 Models, One Prompt Box

Most AI image tools give you one model and hope it fits every job. VdoBloom's image generator ships 46 distinct models grouped into 17 families in a single picker — 24 that generate from text alone, 34 that accept reference images, and 12 that do both — so you can re-run the same prompt on a different engine without leaving the page or re-uploading anything.

That matters because image models fail differently. Seedream 4.5 is the model VdoBloom's own routing guide flags for lettering on posters and signs. Qwen Image 3.0 Pro is the realism-plus-typography pick. Nano Banana Pro gives 1K/2K/4K control for faces. WAN 2.7 Image is the cheap 1K–4K workhorse at 4 credits an image. Switching models in two clicks is usually faster than prompt-engineering around one model's weakness.

Cost is charged per image and set per model, so a draft on GPT Image 2 at 1K costs 3 credits while a 4K Riverflow 2.0 Pro edit costs 27. If a generation fails, the credits are refunded automatically.

Open the multi-model image generator

What this tool does

  • VdoBloom's image generator carries 46 distinct image models across 17 families in one picker: 24 support text-to-image, 34 accept reference images, and 12 appear in both lists.
  • The families are Qwen (8 variants), Nano Banana (5), Seedream (5), Recraft (4), GPT Image (3), ImagineArt (3), Flux Kontext, Flux 2, Flux Edit, WAN, Riverflow and Grok (2 each), plus Kling IMAGE O1, Luma UNI-1 Max, P-Image-Edit, an Auto smart-edit chain and two two-pass Special models.
  • Per-image credit cost is set per model: GPT Image 2 is 3 credits at 1K, 5 at 2K and 8 at 4K; WAN 2.7 Image is 4; Qwen Image 3.0 is 5; Seedream 5 Lite is 6; Seedream 4.5 is 7; Nano Banana 2 is 15; Nano Banana Pro is 18 at 1K/2K and 24 at 4K; the edit-side Riverflow 2.0 Pro is 18 at 1K/2K and 27 at 4K.
  • 4K output is available on WAN 2.7 Image (4 credits), Seedream 5 Lite at High quality (6), Seedream 4.5 (7), GPT Image 2 (8), ImagineArt 1.5 Pro (12), Nano Banana 2 (15), WAN 2.7 Image Pro (18) and Nano Banana Pro (24). On the edit side, Riverflow 2.0 Pro reaches 4K at 27.
  • Reference-image limits are per model: 14 on Nano Banana 2 and Seedream 5 Lite I2I; 10 on GPT Image 2, Kling IMAGE O1, Seedream 5.0 Pro, Nano Banana 2 Lite and P-Image-Edit; 9 on WAN 2.7 Image; 8 on Nano Banana Pro, Flux 2 Pro and Luma UNI-1 Max; 4 on FLUX.2 [dev]; 1 on Flux Kontext Pro and Max.
  • Aspect ratios run from extreme 1:8 and 8:1 strips (WAN 2.7 Image, Nano Banana 2) through 21:9 cinematic. Nano Banana 2 exposes 15 aspect options including 'auto'; GPT Image 2 exposes 11.
  • Recraft V4 uses exact pixel dimensions instead of ratios — 14 presets from 1024×1024 to 1536×768, and 2048×2048 to 3072×1536 on V4 Pro — plus a brand color-palette control.
  • The 'Auto — Smart Edit' option picks the engine for you: it alternates Seedream and WAN 2.7 across retries and bills a flat 7 credits regardless of which one returns the result.
  • Failed generations are refunded automatically, and the two-pass Special models refund the second edit stage when the prompt has nothing left to refine.
  • The picker is a two-pane drilldown — family on the left, variants on the right — so 46 models stay navigable instead of collapsing into one long dropdown.

How it works

  1. 1.Open the generator and write the prompt

    Go to the image generator and type your prompt once. The model picker sits beside it as a two-pane drilldown: pick a family (Qwen, Seedream, Nano Banana, GPT Image, Flux, WAN, Recraft…) on the left, then a variant on the right.

  2. 2.Pick a model that matches the job, not the hype

    Text and lettering on the image: Seedream 4.5 (7 credits). Realism plus typography: Qwen Image 3.0 Pro (6 at 1K, 7 at 2K). Faces at high resolution: Nano Banana Pro (18 at 1K/2K, 24 at 4K). Cheap volume drafts: GPT Image 2 at 1K (3 credits) or WAN 2.7 Image (4 credits).

  3. 3.Set resolution and shape before you spend

    Resolution changes the price on the models that tier it — GPT Image 2 goes 3 / 5 / 8 credits for 1K / 2K / 4K, and Riverflow 2.0 Pro, on the edit side, jumps from 18 to 27 at 4K. Two GPT Image 2 constraints to plan around: the 'auto' aspect forces 1K, and 1:1 cannot be rendered at 4K.

  4. 4.Re-run the same prompt on a second model

    Keep the prompt, change the model, generate again. Because the models sit in one page you can compare a Seedream, a Qwen and a Nano Banana render of the same prompt side by side and only pay for the ones you actually run.

  5. 5.Move the winner into the edit models

    34 of the 46 models accept reference images. Feed the render you like into Seedream 5 Lite I2I (up to 14 images), Nano Banana Pro (up to 8), or Flux Kontext Max for single-image polish — or use Auto — Smart Edit at a flat 7 credits and let the chain choose.

Frequently asked questions

How many AI image models does VdoBloom actually have?

46 distinct image models across 17 families. 24 of them do text-to-image, 34 accept reference images for editing, and 12 support both modes. They are all reachable from the same prompt box — you do not need a different page or a different subscription per model.

Can I run the same prompt on more than one model?

Yes. The prompt stays in the box when you change models, so re-running it on a second engine is one click and one more generation charge. This is the main reason to use a multi-model generator: comparing Seedream, Qwen and Nano Banana output on your actual prompt beats reading benchmark charts.

Which image model is cheapest per image?

In the text-to-image roster: GPT Image 2 at 1K resolution costs 3 credits per image, WAN 2.7 Image costs 4, Qwen Image 3.0 costs 5, and Seedream 5 Lite, Nano Banana, ImagineArt 1.5 and Qwen Image 3.0 Pro at 1K cost 6.

Which models let me upload the most reference images?

Nano Banana 2 and Seedream 5 Lite Image-to-Image accept up to 14 reference images. GPT Image 2, Kling IMAGE O1, Seedream 5.0 Pro, Nano Banana 2 Lite and P-Image-Edit accept up to 10. WAN 2.7 Image accepts 9; Nano Banana Pro, Flux 2 Pro and Luma UNI-1 Max accept 8. Flux Kontext Pro and Max take exactly one.

What happens to my credits if a generation fails?

They are refunded automatically. On the two-pass Special models, the second edit stage is refunded separately when the prompt split finds nothing to refine, so you are not charged for a stage that never ran.

Do I have to choose a model at all?

No. For edits, 'Auto — Smart Edit' handles model selection itself: it alternates Seedream and WAN 2.7 across retries and charges a flat 7 credits no matter which engine produced the final image.

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Ready to try it?

Open the multi-model image generator