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Qwen

Text-to-ImageBy Alibaba (Qwen)Open weights

Qwen-Image is an open-weight text-to-image model from Alibaba, built for sharp prompt adherence and unusually legible in-image text — including strong results with Chinese characters. It also ships an image-editing variant for in-context edits. Generate with every Qwen-Image model right here on Civitai — no GPU, no install.

2K+Qwen models
10M+Images generated
1K+Qwen LoRAs

About Qwen

Qwen-Image is an open-weight text-to-image foundation model from Alibaba, part of the broader Qwen series. Its headline capability is high-fidelity in-image text rendering: it preserves typographic detail, layout, and contextual harmony across both alphabetic scripts like English and logographic ones like Chinese, integrating text into the image rather than overlaying it. Beyond typography it is a general-purpose generator that adapts across styles — photoreal, painterly, anime, and minimalist design — and it is released under the permissive Apache 2.0 license.

The family is a set of specialized tools built on the same 20B foundation. The base Qwen-Image is the quality-first text-to-image workhorse; Qwen-Image-2512 is the December refresh that reduces the "AI-generated" look, sharpens human realism, and renders finer natural detail like landscapes and animal fur while further improving text layout. Qwen-Image-Edit is the editing variant: it feeds the input image into both Qwen2.5-VL for semantic control and a VAE encoder for appearance control, enabling in-context edits — object add/remove, style transfer, novel-view rotation, and direct bilingual text editing that keeps the original font, size, and style. All three are hosted on Civitai, so you can switch between them without downloading tens of gigabytes of weights.

Choose Qwen-Image when legible text-in-image — signage, posters, packaging, or Chinese characters — is central, or when you want strong prompt adherence across a wide stylistic range from a single open model. Reach for Qwen-Image-2512 when photographic realism of people and nature is the priority, and Qwen-Image-Edit when you are modifying an existing image rather than generating from scratch. For anime and character art the SDXL-based Pony and Illustrious ecosystems still lead on style range and LoRA depth, but Qwen’s own LoRA library on Civitai is already substantial and growing.

How to prompt Qwen

  • Write in natural language, not comma-separated tags. One to three sentences is the sweet spot, and order matters — lead with the main subject, then the environment, then finer details.
  • Structure the prompt by category: Subject → Environment → Lighting → Style. A good template is "[Subject description]. [Scene and environment]. [Style, lighting, and atmosphere]." Separating these categories measurably improves precision.
  • For text in the image, wrap the exact words in quotation marks — it dramatically improves rendering accuracy. Qwen is especially strong at Chinese characters as well as English.
  • Skip weight syntax like (word:1.5) — it is not supported. Emphasize with descriptive language instead of numeric weights.
  • Do not rely on negative prompts. The parameter exists but has minimal effect since the model was not trained on negative conditioning — describe everything you want in the positive prompt.

Featured Qwen models

Curated — the models worth generating with first.

Qwen-Image — Qwen checkpoint preview
Checkpoint
Qwen-Image

36K

11K

Civitai-hosted · default

Qwen-Image-2512 — Qwen checkpoint preview
Checkpoint
Qwen-Image-2512

12K

159K

Civitai-hosted · latest

Qwen-Image-Edit — Qwen checkpoint preview
Checkpoint
Qwen-Image-Edit

23K

13K

Civitai-hosted · in-context editing

Real Life LoRA · Qwen — Qwen lora preview

Popular Qwen LoRAs & add-ons

Top LoRAs by downloads — live data, refreshed daily. Stack them on any checkpoint.

Example generations

Curated, safe-for-work showcase — every image ships with its prompt and settings.

Qwen example image: Ultra-detailed cinematic fantasy portrait with photoreal lighting
Ultra-detailed cinematic fantasy portrait with photoreal lighting
Steps 20 · Qwen-Image · 1024×1024
Qwen example image: A cyberpunk woman under neon light, sharp edges, highly detailed, 4k
A cyberpunk woman under neon light, sharp edges, highly detailed, 4k
Steps 20 · Qwen-Image · 1024×1024
Qwen example image: A toucan perched in a jungle tree, glossy feathers, ultra-sharp nature scene
A toucan perched in a jungle tree, glossy feathers, ultra-sharp nature scene
Steps 20 · Qwen-Image · 1024×1024
Qwen example image: A stained-glass tiger, wildlife close-up, vivid color
A stained-glass tiger, wildlife close-up, vivid color
Steps 20 · Qwen-Image · 1024×1024
Qwen example image: Anime-style full-body character illustration, front view
Anime-style full-body character illustration, front view
Steps 20 · Qwen-Image · 1024×1024
Qwen example image: A single gilded koi fish, traditional Chinese ink-wash style on xuan paper
A single gilded koi fish, traditional Chinese ink-wash style on xuan paper
Steps 20 · Qwen-Image · 1024×1024

How to run Qwen

Two paths — one takes ten seconds, one takes an afternoon.

🖥️ Run it locally

For power users who want full control.

Full control over the workflow
Batch and automate
Needs a 16GB+ VRAM GPU
Download ~20GB of weights
Set up ComfyUI yourself

No graphics card? The Civitai path above skips all of this.

Qwen vs other ecosystems

Backed by Civitai usage data.

FeatureQwenFluxSDXLHiDream
Best forPrompt accuracy & in-image textPhotorealism & versatilityGeneral purpose, speedPhotoreal prompt following
Prompt adherenceExcellentExcellentGoodVery good
Text in imagesStrongStrongWeakFair
Speed on CivitaiMedium (6–12s)Fast (4–8s)Fastest (2–4s)Medium (6–12s)
LoRA ecosystem1,600+40,000+100,000+Small
Available on Civitai✓ Yes✓ Yes✓ Yes✓ Yes

Frequently asked questions

How much does it cost to generate with Qwen-Image?

Generation on Civitai runs on Buzz. You can claim free Blue Buzz every day — through actions like reacting to images and other on-site activity — and put it straight toward generating, no real money required. Qwen-Image is a 20B model, so each image costs more Buzz than lighter checkpoints; for heavier use let your Blue Buzz accumulate or add a membership for higher limits.

What's the difference between Qwen-Image and Qwen-Image-Edit?

Qwen-Image is the base text-to-image model; Qwen-Image-Edit takes an input image and applies in-context edits from a prompt. Both are hosted on Civitai — pick either from the generator.

Is Qwen-Image good at rendering text?

Yes — legible in-image text, including Chinese characters, is one of its headline strengths. Try it yourself by remixing one of the examples above.

Can I use LoRAs with Qwen-Image?

Yes. Civitai already hosts 1,600+ Qwen LoRAs — stack them in the generator to blend styles and subjects. Remix an example to see how the settings carry over.

Do I need a GPU to run Qwen-Image?

Not on Civitai — we run the compute for you. Locally, Qwen-Image wants a 16GB+ VRAM GPU and roughly 20GB of weights.

Start generating with Qwen now

No installation. No GPU. Runs in your browser.

Want more daily generations and a faster queue? Explore Civitai membership.