image model · by Alibaba Qwen
Qwen Image AI Generator
Generate images with industry-leading text rendering using Qwen Image - Alibaba's 20-billion-parameter MMDiT foundation model. Built specifically for complex typography, multi-line layouts, paragraph-level text, and bilingual English-Chinese content. The model to reach for when text inside the image actually has to be readable.
Generated with Qwen Image
A handful of Qwen Image samples generated inside Fliki. No edits, no post.

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Why Qwen Image leads on text rendering
Industry-leading text rendering
Qwen Image handles complex typography, multi-line layouts, paragraph-level text, and even text-heavy infographics with high accuracy. It ranks #1 on Alibaba AI Arena's open-source text-to-image leaderboard largely on the strength of this capability.
Native bilingual support
Qwen Image renders both English and Chinese characters with high accuracy in the same image. Useful for international campaigns, bilingual signage, and any content targeting both markets without separate generations.
Native high-resolution output
Qwen Image generates up to 3584x3584 pixels natively - no upscaling required. That resolution headroom is especially valuable for typography-heavy work where pixel sharpness matters.
20B-parameter MMDiT architecture
The Multimodal Diffusion Transformer architecture processes text and image information jointly, which is part of why Qwen Image follows complex prompts so reliably.
Apache 2.0 license
Qwen Image is open-sourced under Apache 2.0, meaning fully permissive commercial use. On Fliki, you get hosted API access without managing infrastructure or model weights yourself.
Photorealism and stylistic range
Beyond text, Qwen Image handles photorealistic, illustrative, and artistic styles. It's a general-purpose model that just happens to be exceptional at typography.
Strong prompt adherence
The dual-encoder design and large parameter count give Qwen Image tight alignment with prompt instructions. Specific layout, composition, and content directives land more reliably than with smaller models.
Pairs with Qwen-Image-Edit-Plus
For editing existing images, Qwen-Image-Edit-Plus is the matching edit model. Both share the same MMDiT architecture, so handoffs between generation and editing are clean.
LoRA fine-tuning ecosystem
Because Qwen Image is fully open under Apache 2.0, the community has built an active ecosystem of LoRA adapters and fine-tuned variants on Hugging Face for niche styles, characters, and design systems. Pick the base model on Fliki today and migrate any LoRA workflows you already use offline.
How it works
How to generate an image with Qwen Image
Qwen Image runs inside Fliki's AI image generator. Here's the six-step flow.

Write your prompt
For text-heavy work, put the exact text in quotes inside your prompt. Describe layout (titles, subtitles, body text), composition, and style explicitly. Qwen Image handles long, detailed prompts well.

Select Qwen Image as your model
Open Fliki's model selector and choose Qwen Image. Your prompt routes to Alibaba's 20B MMDiT open-source model.

Pick your aspect ratio
Choose 1:1 for square, 16:9 for landscape, or 9:16 for vertical. Qwen Image composes each ratio natively rather than cropping.

Add reference images (optional)
Skip this step - Qwen Image is a pure text-to-image model and does not accept reference inputs. For reference-driven edits, use Qwen-Image-Edit-Plus instead.

Set the resolution
Qwen Image renders natively up to 3584x3584. Use higher resolutions when text legibility matters most - it's designed for native high-resolution typography output.

Generate
Hit Generate. Qwen Image is Alibaba's 20B-parameter MMDiT model and is paid-only on Fliki - upgrade your plan to access it alongside the rest of the premium catalog.
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