Qwen Image 2.0
Qwen 2.0 Text-to-Image sets a new standard for AI-driven visual creation, combining complex prompt understanding with high-fidelity, photorealistic output.
The Qwen Image 2 API gives you programmatic access to Alibaba's Qwen Image 2.0 model family — text-to-image, instruction-based editing, a higher-fidelity Pro tier, plus the original Qwen Image line and LoRA training/support endpoints, all through one Muapi API key, from $0.02 per request.
Qwen 2.0 Text-to-Image sets a new standard for AI-driven visual creation, combining complex prompt understanding with high-fidelity, photorealistic output.
Qwen 2.0 Edit provides detailed, natural modifications of images through simple text prompts.
Qwen 2.0 Pro Text-to-Image offers maximum fidelity and instruction-following for professional-grade creations.
Qwen 2.0 Pro Edit allows extreme, precise edits while preserving original photorealism.
The original Qwen Image text-to-image model, converting detailed textual prompts into high-quality images.
Transform an existing image using a natural-language edit prompt with the original Qwen Image editing model.
An expanded Qwen Image editing endpoint that accepts multiple reference images plus explicit width/height control.
A refreshed Qwen Image editing checkpoint with multi-image reference support and explicit width/height control.
Generate an image from a text prompt while applying one or more custom-trained Qwen-Image LoRAs.
Generate an image on the 2512 Qwen-Image checkpoint while applying one or more custom-trained LoRAs.
Edit an image from multiple reference images while applying one or more custom-trained Qwen-Image LoRAs.
Edit an image on the 2511 checkpoint while applying one or more custom-trained Qwen-Image LoRAs.
Edit an image with the original Qwen Image editing model while applying a custom-trained LoRA.
Accelerated fine-tuning for Qwen-Image models directly from a custom dataset zip archive — train character, style, or concept LoRAs.
Fine-tune a custom LoRA on the 2512 Qwen-Image checkpoint from your own dataset zip archive.
The Qwen Image 2 API gives applications programmatic access to Alibaba's Qwen Image 2.0 model — text-to-image generation and instruction-based editing with strong prompt understanding and photorealistic output, plus a higher-fidelity Pro tier for professional-grade work.
Muapi exposes the full Qwen Image family — 2.0, the original Qwen Image line, and LoRA training/support endpoints — through one REST API. Use the image playground to compare Qwen Image 2.0 against the original line, then train and apply a custom LoRA for consistent characters or styles in your own pipeline.
Turn a text prompt into a high-fidelity, photorealistic image with strong prompt-following.
Modify an existing image with a natural-language edit prompt instead of masks or layers.
Step up to Qwen Image 2.0 Pro for maximum fidelity and instruction-following on professional-grade creations.
Qwen Image Edit Plus and Edit 2511 accept multiple reference images with explicit width/height control.
Fine-tune a Qwen-Image LoRA from your own dataset zip archive for consistent characters, styles, or concepts.
Apply one or more custom-trained LoRAs directly on generation and editing endpoints, not just at training time.
| Endpoint | Input | Output | Price | Best For |
|---|---|---|---|---|
| qwen-image-2.0 | Prompt | Image | $0.04/request | Standard-quality generation from text |
| qwen-image-2.0-edit | Image + prompt | Image | $0.04/request | Standard-quality instruction editing |
| qwen-image-2.0-pro | Prompt | Image | $0.09/request | Maximum fidelity from text |
| qwen-image-2.0-pro-edit | Image + prompt | Image | $0.09/request | Precise edits preserving photorealism |
| qwen-image | Prompt | Image | $0.03/request | Existing Qwen Image (original) workflows |
| qwen-image-edit | Image + prompt | Image | $0.03/request | Existing Qwen Image (original) edit workflows |
| qwen-image-edit-plus | 1+ images + prompt | Image | $0.03/request | Multi-reference edits with size control |
| qwen-image-edit-2511 | 1+ images + prompt | Image | $0.04/request | Refreshed checkpoint multi-reference edits |
| qwen-image-text-to-image-lora | Prompt + LoRA | Image | $0.02/request | Custom character/style generation |
| qwen-image-edit-lora | Image + prompt + LoRA | Image | $0.04/request | Custom character/style editing |
| qwen-image-lora-trainer | Dataset zip | LoRA weights | $2.00/request | Training a new custom LoRA |
Prices and supported fields are model-specific. Review the live Playground schema before shipping generated images in production.
Submit a JSON request with your Muapi API key, save the request ID, and poll the shared result endpoint. Provide a publicly reachable image URL for edit requests.
curl -X POST https://api.muapi.ai/api/v1/qwen-image-2.0-pro \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"A minimalist product shot of a ceramic mug on a marble countertop, soft studio lighting","aspect_ratio":"1:1"}'
# Response: {"request_id":"REQUEST_ID"}Call qwen-image-2.0-pro with a prompt and aspect ratio.
curl -X POST https://api.muapi.ai/api/v1/qwen-image-2.0-pro-edit \
-H "x-api-key: YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"Change the background to a sunlit kitchen","images_list":["https://example.com/reference.jpg"],"aspect_ratio":"1:1"}'
# Response: {"request_id":"REQUEST_ID"}Call qwen-image-2.0-pro-edit with a reference image URL and an edit prompt.
curl https://api.muapi.ai/api/v1/predictions/REQUEST_ID/result \ -H "x-api-key: YOUR_API_KEY" # Poll until status is completed, then read the generated image URL from outputs.
Poll until the task is completed, then read the returned image URL.
Yes. Both qwen-image and qwen-image-2.0 accept a text prompt and return a generated image; qwen-image-2.0-pro adds maximum fidelity and instruction-following for professional work.
Qwen Image 2.0 is the newer generation, with stronger complex-prompt understanding and higher-fidelity photorealistic output. The original Qwen Image line remains available for existing workflows.
Standard-tier endpoints (qwen-image-2.0, qwen-image-2.0-edit) cost $0.04 per request; the Pro tier (qwen-image-2.0-pro, qwen-image-2.0-pro-edit) costs $0.09 per request and offers maximum fidelity and instruction-following.
Yes. qwen-image-edit-plus and qwen-image-edit-2511 accept a list of reference images plus explicit width and height control, instead of a single image URL.
Yes. qwen-image-lora-trainer and qwen-image-2512-lora-trainer fine-tune a custom LoRA from a dataset zip archive, for consistent characters, styles, or concepts.
Yes. The LoRA-support endpoints (qwen-image-text-to-image-lora, qwen-image-edit-lora, and their variants) accept one or more custom-trained LoRAs directly on generation and editing requests.
LoRA-support generation/editing costs $0.02–$0.04 per request; the original Qwen Image line costs $0.03–$0.04; Qwen Image 2.0 costs $0.04 (Standard) or $0.09 (Pro) per request; LoRA training costs $2.00 per request.
Create one Muapi API key and connect text-to-image, instruction editing, multi-reference editing, and custom LoRA training in a single asynchronous workflow.