# Qwen Image 2.0 > Alibaba's Qwen Image 2.0 model with enhanced text rendering, supporting both Chinese and English prompts with up to 6 images per request ## Quick Reference - Model ID: qwen-image-2.0 - Creator: Alibaba - Status: active - Family: qwen - Base URL: https://api.lumenfall.ai/openai/v1 ## Specifications - Max Resolution: 2048x2048 - Input Modalities: text - Output Modalities: image - Supported Modes: Text to Image ## API Parameters The compiled parameter schema for this model is available via the API: `GET /v1/models/qwen-image-2.0?schema=true`. ### Core Parameters - `prompt` (string) — REQUIRED: Text prompt for image generation ### Size & Layout - `size` (string): Image dimensions as WxH pixels (e.g. "1024x1024") or aspect ratio (e.g. "16:9") - `aspect_ratio` (string): Aspect ratio of the output image (e.g. "16:9", "1:1") - `resolution` (string): Output resolution tier (e.g. "1K", "4K") ### Output & Format - `response_format` (string): How to return the image. Default: url. Values: url, b64_json - `output_format` (string): Output image format. Values: png, jpeg, gif, webp, avif - `output_compression` (integer): Compression level for lossy formats (JPEG, WebP, AVIF) - `n` (integer): Number of images to generate. Default: 1 ## Model Identifiers - Primary Slug: qwen-image-2.0 ## Dates - Released: February 2026 ## Tags image-generation, text-to-image ## Available Providers ### Alibaba Cloud - Config Key: alibaba/qwen-image-2.0 - Provider Model ID: qwen-image-2.0 - Pricing: $0.035/image - Source: https://modelstudio.console.alibabacloud.com/ap-southeast-1?tab=doc#/doc/?type=model&url=2840914_2&modelId=group-qwen-image-2.0 ## Image Gallery 4 images available for this model. Browse all at https://lumenfall.ai/models/alibaba/qwen-image-2.0/gallery ### Curated Examples - [A wide, cinematic shot of a high-end, contemporary atelier located in a sun-drenched Mediterranea...](https://assets.lumenfall.ai/-i0q_vBv0rGc0_HZllYW1dxb9sYIRoyyUI0mgbzAF4g/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/myn7jruh4zugzduwilujactaw88w@jpeg) - [A hyper-realistic close-up of an elderly craftsman's weathered hands meticulously assembling a de...](https://assets.lumenfall.ai/ZYuqXOwUhxdMdqAbwf7O6De-vshb7mn9YHC4su3V1mQ/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/64are0j23lvge0574uejxbnswwef@jpeg) - [A hyper-realistic close-up of an elderly craftsman's weathered hands meticulously assembling a vi...](https://assets.lumenfall.ai/YhtbyvefYK1bh2SnG7GtGZmYTTZH8NYALCNvpXVhtO4/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/3t6hdcxb2isqf8o2fnexa1w7syyd@jpeg) - [A cozy street-side lemonade stand with a hand-painted wooden sign that says "FRESH & ZESTY" in el...](https://assets.lumenfall.ai/kBdbfv2yMFJlbpr05IJJfv6ZrVLZdpasoeKW68n7UjM/rs:fit:1500:1500/plain/gs://lumenfall-prod-assets/iu2qdchy1wq1leowkivg19j9pcxr@jpeg) ## Example Prompt The following prompt was used to generate an example image in our playground: A cozy street-side lemonade stand with a hand-painted wooden sign that says "FRESH & ZESTY" in elegant cursive. A young girl serves a glass, while a capybara calmly sits in the soft grass behind the stand, wearing a tiny yellow bowtie. ## Code Examples ### Text to Image (/v1/images/generations) #### cURL curl -X POST \ https://api.lumenfall.ai/openai/v1/images/generations \ -H "Authorization: Bearer $LUMENFALL_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "qwen-image-2.0", "prompt": "", "size": "1024x1024" }' # Response: # { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] } #### JavaScript import OpenAI from 'openai'; const client = new OpenAI({ apiKey: 'YOUR_API_KEY', baseURL: 'https://api.lumenfall.ai/openai/v1' }); const response = await client.images.generate({ model: 'qwen-image-2.0', prompt: '', size: '1024x1024' }); // { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] } console.log(response.data[0].url); #### Python from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.lumenfall.ai/openai/v1" ) response = client.images.generate( model="qwen-image-2.0", prompt="", size="1024x1024" ) # { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] } print(response.data[0].url) ## About ## Overview Qwen Image 2.0 is a text-to-image generation model developed by Alibaba that specializes in high-fidelity visual synthesis from both Chinese and English prompts. Released in early 2026, it distinguishes itself through its ability to handle complex compositional instructions and its native support for creating sequences of up to six related images within a single request. ## Strengths * **Multilingual Semantic Alignment:** The model demonstrates high instruction-following accuracy for prompts written in both Chinese and English, reducing the need for translation middleware. * **Batch Consistency:** By supporting up to six images per request, the model maintains a higher degree of stylistic and character consistency across a set of generated assets compared to individual sequential calls. * **Typography and Text Rendering:** It features enhanced text rendering capabilities, allowing for the inclusion of legible, accurate characters within the generated imagery. * **Complex Composition:** The model excels at spatial reasoning, correctly placing multiple subjects or objects in relation to one another as described in long-form textural descriptions. ## Limitations * **Contextual Latency:** Generating multiple images in a single request (up to six) results in higher per-call latency compared to single-image generation models optimized for speed. * **Specific Domain Gaps:** While strong in general artistic and photorealistic styles, it may lag behind niche-specific models trained exclusively on medical or highly technical architectural schematics. * **Regional Cultural Bias:** Given its training origin, the model may default to East Asian aesthetic preferences or cultural contexts for ambiguous prompts unless specified otherwise. ## Technical Background As part of the Qwen family, this model utilizes a diffusion-based architecture integrated with a large-scale multimodal transformer backbone. It leverages a dual-language text encoder that allows it to project Chinese and English tokens into a shared latent space, ensuring consistent conceptual mapping across languages. Alibaba utilized fine-grained reinforcement learning from human feedback (RLHF) specifically tuned for image aesthetic quality and text-alignment accuracy. ## Best For Qwen Image 2.0 is ideal for marketing teams creating localized content for global audiences, concept artists requiring consistent character references across multiple frames, and developers building applications that require accurate text overlays in images. You can experiment with its multi-image generation capabilities and compare its multilingual performance through the **Lumenfall unified API and playground**, which provides a standardized interface for Qwen and other leading image models. ## Frequently Asked Questions ### How much does Qwen Image 2.0 cost? Qwen Image 2.0 starts at $0.035 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing. ### How do I use Qwen Image 2.0 via API? You can use Qwen Image 2.0 through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "qwen-image-2.0". Code examples are available in Python, JavaScript, and cURL. ### Which providers offer Qwen Image 2.0? Qwen Image 2.0 is available through Alibaba Cloud on Lumenfall. Lumenfall automatically routes requests to the best available provider. ### What is the maximum resolution for Qwen Image 2.0? Qwen Image 2.0 supports images up to 2048x2048 resolution. ## Links - Model Page: https://lumenfall.ai/models/alibaba/qwen-image-2.0 - About: https://lumenfall.ai/models/alibaba/qwen-image-2.0/about - Providers, Pricing & Performance: https://lumenfall.ai/models/alibaba/qwen-image-2.0/providers - API Reference: https://lumenfall.ai/models/alibaba/qwen-image-2.0/api - Benchmarks: https://lumenfall.ai/models/alibaba/qwen-image-2.0/benchmarks - Use Cases: https://lumenfall.ai/models/alibaba/qwen-image-2.0/use-cases - Gallery: https://lumenfall.ai/models/alibaba/qwen-image-2.0/gallery - Playground: https://lumenfall.ai/playground?model=qwen-image-2.0 - API Documentation: https://docs.lumenfall.ai