Qwen-Image-2.1-Turbo

SyncDev model directory · Profile updated Oct 13, 2026

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Qwen-Image-2.1-Turbo creates and edits images, including reference-guided and transparency workflows; hosted billing is separate from local deployment.

Key specifications

License
Qwen Research License

Pricing conditions: Use the selected image service’s current resolution, operation and billing unit. No independently verified flat token rate is recorded for this image model.

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Text input
  • Image input

Produces

  • Image output

Capabilities

VisionOpen weights

What is Qwen-Image-2.1-Turbo?

Image creation and revision

The Turbo checkpoint accelerates Qwen-Image-2.1 generation and editing using an eight-step denoising schedule. It retains the 7B visual generation architecture and can load through the QwenImage21Pipeline in Diffusers.

Choose the deployment deliberately

Weights are published under the Qwen Research License, rather than an assumed Apache licence. Review that licence for your intended use. A qwen-image-2.1-turbo hosted route is also listed by QwenCloud; its billing and request limits belong to that service.

Review the finished image

Keep reference images, requested output dimensions and edit instructions with each evaluation. A successful API response does not establish that a product’s identity, transparency or typography has been preserved. Inspect output in the intended renderer and include the full revision sequence when estimating cost. A text model’s token rate is not a usable substitute for image-service pricing.

Evaluating Qwen-Image-2.1-Turbo

Compare the same prompts and reference sets at the resolution you intend to deliver. Include transparent edges, fine text and a local edit that must preserve the rest of the scene. Review accepted assets instead of thumbnails, and count the generations and manual corrections required for each usable result.

Record the exact model identifier, deployment route and request settings with each result. Count complete runs, including rejected outputs, retries and tool calls. When the workflow creates files or code, open the files or execute the existing checks before accepting the result. A plausible first response can hide an incomplete final deliverable.

The specifications describe supported interfaces and request capacity. They do not establish a measured quality ranking or a latency guarantee for your account. SyncDev has not independently benchmarked this model. Choose a deployment after testing the languages, input formats and operating conditions that matter to your users.

Explore alibaba models, browse model tasks, or compare two models with the same acceptance criteria.

How to evaluate Qwen-Image-2.1-Turbo

Compare the model on the work you need to complete.

Tasks and inputs

Qwen-Image-2.1-Turbo is listed for Image-text-to-image, Text-to-image. It accepts text, image and produces image. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Choose the output size and quality your design needs. Include drafts and revisions when budgeting an accepted image.

Choosing a deployment

The weights are downloadable under Qwen Research License. Check runtime support and size the complete model and working context for your expected concurrency.

Frequently asked questions

Qwen-Image-2.1-Turbo creates and edits images, including reference-guided and transparency workflows; hosted billing is separate from local deployment.

These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.

Alibaba

Qwen-Image-2.1-Pro

Qwen-Image-2.1-Pro creates and edits images, including reference-guided and transparency workflows; hosted billing is separate from local deployment.

— context

Meta

Muse Image 1.0

Muse Image 1.0 generates and edits images through conversational or single-shot endpoints, with flat per-image Meta Model API billing.

— context

krea

krea/Krea-2-Raw

Krea 2 Raw: a base checkpoint for further training, not the recommended everyday inference release.

— context

krea

krea/Krea-2-Turbo

Krea 2 Turbo: the post-trained and distilled Krea 2 checkpoint for image generation.

— context

OpenAI

GPT-5.4 Image 2

GPT-5.4 Image 2 from OpenAI: Image model for prompt-driven generation, editing, and visual design workflows.

272K context

Qwen

Qwen/Qwen-Image

Qwen/Qwen-Image is a source-linked Hugging Face repository assigned to Text-to-image. Its recorded task interface accepts text and produces image.

8.19K context