Qwen image generation
Qwen is Alibaba's image-generation family. The orchestrator exposes three invocation paths, covering different versions of the model family:
engine | Model | Best for | Notes |
|---|---|---|---|
sdcpp (ecosystem qwen) | 20b | Default — Qwen-Image 20B on Civitai workers | createImage / createVariant / editImage. Version picker (latest, 2509, 2512, 2511). LoRA support. |
qwen | 3.0-pro … edit | The full Alibaba-hosted catalog, including the newest releases | createImage / editImage. Explicit width/height. No LoRA support. |
fal | qwen2 | The Qwen-Image-2 tier under a stable, FAL-shaped request | createImage / proCreateImage / editImage / proEditImage. imageSize enum instead of width/height. No LoRA support. |
Default choice for new integrations: engine: "sdcpp", ecosystem: "qwen", model: "20b". Reach for engine: "qwen" when you want a model Civitai doesn't host itself — Qwen-Image 3.0 Pro, Max, or the dedicated edit models.
Prerequisites
- A Civitai orchestration token (Quick start → Prerequisites)
- For
editImage/createVariant: one or more source image URLs, data URLs, or Base64 strings
sdcpp — Qwen-Image 20B (default path)
Text-to-image (createImage)
POST https://orchestration.civitai.com/v2/consumer/workflows?wait=60
Authorization: Bearer <your-token>
Content-Type: application/json
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "sdcpp",
"ecosystem": "qwen",
"model": "20b",
"operation": "createImage",
"version": "latest",
"prompt": "A photorealistic portrait of a woman with flowers in her hair, golden hour lighting, highly detailed",
"width": 1024,
"height": 1024,
"cfgScale": 2.5,
"steps": 20
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
Common sdcpp-qwen parameters:
| Field | Default | Range | Notes |
|---|---|---|---|
model | — ✅ | 20b | Currently only 20b is exposed. |
version | latest | latest / 2509 / 2512 (create + variant) / 2511 (edit) | Model release snapshot. latest follows whichever is current. |
prompt | — ✅ | ≤ 10 000 chars | Natural-language works well on Qwen. |
negativePrompt | (none) | ≤ 10 000 chars | Optional. |
width / height | 1024 | 64–2048, divisible by 8 | Qwen-Image 20B is trained at 1024². Well-behaved aspect ratios stay near that pixel count. On editImage / createVariant, width/height are inferred from the source image if omitted; you may still supply them explicitly. |
cfgScale | 2.5 | 0–30 | Lower than most image models — 2–4 is the sweet spot. |
steps | 20 | 1–150 | 20–30 typical. |
sampleMethod | euler | enum | SdCppSampleMethod. |
schedule | simple | enum | SdCppSchedule. |
loras | {} | { airUrn: strength } | Stack multiple; 0.6–1.0 strengths typical. |
quantity | 1 | 1–12 | Number of images per call. |
seed | random | int64 | Pin for reproducibility. |
Picking a version
version | Available on | Notes |
|---|---|---|
latest | all ops | Follows whatever release Civitai is currently pinning to. Recommended unless you need reproducibility against a specific release. |
2509 | all ops | September 2025 release snapshot. |
2512 | create / variant | December 2025 release — latest generation-side release at the time of writing. |
2511 | edit | November 2025 release — edit-specific snapshot. |
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "sdcpp",
"ecosystem": "qwen",
"model": "20b",
"operation": "createImage",
"version": "2512",
"prompt": "A majestic mountain landscape at sunrise, cinematic composition",
"width": 1024,
"height": 1024,
"cfgScale": 2.5,
"steps": 20
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
Pin to a specific version when you need reproducible output or are comparing generations across a larger experiment; stick to latest for day-to-day use.
With LoRAs
LoRAs are a map of AIR URN → strength:
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "sdcpp",
"ecosystem": "qwen",
"model": "20b",
"operation": "createImage",
"prompt": "A detailed anime character in a magical forest, ethereal lighting",
"width": 1024,
"height": 1024,
"cfgScale": 2.5,
"steps": 20,
"loras": {
"urn:air:qwen:lora:civitai:123456@789012": 0.8
}
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
Only Qwen-tagged LoRAs work on the qwen ecosystem. Browse the Civitai Qwen LoRA catalog for AIR URNs.
Image-to-image (createVariant)
Pass a single source image and a prompt; the model re-imagines it. strength controls how much of the source to preserve — 0.0 returns the source unchanged, 1.0 discards it entirely. Width and height are inferred from the source.
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "sdcpp",
"ecosystem": "qwen",
"model": "20b",
"operation": "createVariant",
"prompt": "Turn it into a winter scene with snow falling",
"image": "https://image.civitai.com/.../source.jpeg",
"strength": 0.7
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
Note image is a plain string URL (not a { url: ... } wrapper), and the field is strength (default 0.7).
Edit image (editImage)
Pass up to 10 reference images via images[] — Qwen-Image's edit variant accepts more sources than most edit pipelines:
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "sdcpp",
"ecosystem": "qwen",
"model": "20b",
"operation": "editImage",
"prompt": "Add a rainbow in the sky",
"images": [
"https://image.civitai.com/.../source.jpeg"
]
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
Width/height are inferred from the source image(s) when omitted.
qwen — the Alibaba-hosted catalog
engine: "qwen" reaches Alibaba Model Studio directly, which is where the newest Qwen image models land first. Two operations — createImage and editImage — with the model chosen by model:
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "qwen",
"model": "2.0",
"operation": "createImage",
"prompt": "A photorealistic portrait of a woman with flowers in her hair, golden hour lighting",
"width": 1328,
"height": 1328
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
Picking a model
model | Operations | Sizing | quantity | Notes |
|---|---|---|---|---|
3.0-pro | create, edit | 512–2048 per side | 1–6 | Newest generation. Lowest throughput of the family — reserve it for hero shots. |
2.0-pro | create, edit | 512–2048 per side | 1–6 | Strongest generally-available tier: text rendering, realistic texture, prompt adherence. |
2.0 | create, edit | 512–2048 per side | 1–6 | Default for createImage. Accelerated; balances quality and throughput. |
max | create | 5 fixed presets | 1 | Higher realism, fewer artifacts. Text-to-image only. |
plus | create | 5 fixed presets | 1 | Cheapest tier; leans artistic, strong at text-in-image. |
edit-max | edit | 512–2048 per side | 1–6 | Strongest editor — industrial design, geometric reasoning, character consistency. |
edit-plus | edit | 512–2048 per side | 1–6 | Default for editImage. Cheapest editor. |
edit | edit | not settable | 1 | Original edit model. Output matches the input image's shape. |
max and plus accept only Alibaba's fixed presets — 1664×928, 1472×1104, 1328×1328, 1104×1472, 928×1664. Any other width/height snaps to whichever preset is closest in aspect ratio, so 1024×1024 becomes 1328×1328 rather than erroring.
Omit width and height entirely to let the model choose: on createImage it infers a resolution from the prompt, and on editImage it matches the input image's aspect ratio at roughly 1024².
Parameters
| Field | Default | Range | Notes |
|---|---|---|---|
prompt | — ✅ | ≤ 5 000 chars | Natural-language works well on Qwen. |
negativePrompt | (none) | ≤ 500 chars | Optional. |
width / height | (model chooses) | 512–2048 each | See the sizing rules above. |
quantity | 1 | 1–6, model-dependent | max, plus and edit generate one image per request. |
promptExtend | true | boolean | Model-side prompt rewriting. On by default, and it dominates latency — measured on 3.0-pro at 2048×1152: 11 s off vs 98 s on. Set false to send your prompt verbatim and generate far faster. |
watermark | false | boolean | Adds Alibaba's "Qwen-Image" watermark bottom-right. |
seed | random | int32 | Pin for reproducibility. |
images | — ✅ on editImage | 1–3 | Referenced in prompts as "Image 1", "Image 2", "Image 3" — order matters. |
Text-to-image on the pro tier
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "qwen",
"model": "2.0-pro",
"operation": "createImage",
"prompt": "An epic fantasy battle scene with dragons, cinematic lighting, intricate details",
"width": 2048,
"height": 1152
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
Edit image (editImage)
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "qwen",
"model": "edit-plus",
"operation": "editImage",
"prompt": "Make it daytime",
"images": [
"https://image.civitai.com/.../source.jpeg"
]
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
With multiple references, name them in the prompt — e.g. "Put the jacket from Image 2 on the person in Image 1".
fal — Qwen-Image-2 under the FAL request shape
The commercial Qwen-Image-2 tier, including Pro via the proCreateImage and proEditImage operations, using engine: "fal", model: "qwen2":
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "fal",
"model": "qwen2",
"operation": "createImage",
"prompt": "A photorealistic portrait of a woman with flowers in her hair, golden hour lighting",
"imageSize": "square_hd"
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
Now served by Alibaba
This path executes on Alibaba Model Studio rather than FAL. Nothing about the request, the response, or the price changed — but if you're starting fresh, engine: "qwen" above exposes the same models with explicit dimensions and a wider catalog.
FAL-specific parameters
| Field | Default | Range | Notes |
|---|---|---|---|
prompt | — ✅ | ≥ 1 char | Natural-language works well on Qwen. |
negativePrompt | (none) | ≤ 500 chars | Much tighter limit than sdcpp's 10 000. |
imageSize | square_hd | square_hd / square / portrait_4_3 / portrait_16_9 / landscape_4_3 / landscape_16_9 | Enum, not width/height. FAL doesn't accept arbitrary dimensions on Qwen2. |
quantity | 1 | 1–10 | Slightly lower ceiling than sdcpp's 12. |
enablePromptExpansion | true | boolean | Model-side prompt expansion — Qwen rewrites your prompt before generation. On by default. |
enableSafetyChecker | false | boolean | FAL's safety filter. Off by default. |
seed | random | int32 | Pin for reproducibility. |
FAL Qwen2 does not support LoRAs or uCache — use the sdcpp path when you need either.
Pro tier (proCreateImage / proEditImage)
The Pro tier keeps the same input shape but routes to a higher-quality backing model. Swap the operation to proCreateImage for text-to-image or proEditImage for editing:
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "fal",
"model": "qwen2",
"operation": "proCreateImage",
"prompt": "An epic fantasy battle scene with dragons, cinematic lighting, intricate details",
"imageSize": "landscape_16_9"
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
Pro costs more and is slower, but delivers stronger prompt adherence and finer detail. Use for hero shots where quality matters more than throughput.
Edit image (FAL)
FAL's edit operation accepts 1–3 reference images (vs sdcpp's 10):
{
"steps": [{
"$type": "imageGen",
"input": {
"engine": "fal",
"model": "qwen2",
"operation": "editImage",
"prompt": "Make it daytime",
"images": [
"https://image.civitai.com/.../source.jpeg"
]
}
}]
}/v2/consumer/workflowsRequest body — edit to customize (e.g. swap the image URL or prompt)
Swap to proEditImage for the Pro tier variant.
Reading the result
Both engines emit the standard imageGen output — an images[] array, one entry per quantity:
{
"status": "succeeded",
"steps": [{
"name": "0",
"$type": "imageGen",
"status": "succeeded",
"output": {
"images": [
{ "id": "blob_...", "url": "https://.../signed.jpeg" }
]
}
}]
}Blob URLs are signed and expire — refetch the workflow or call GetBlob for a fresh URL.
Runtime
| Path | Typical wall time per 1024×1024 image | wait recommendation |
|---|---|---|
| sdcpp Qwen-Image 20B | 15–35 s | wait=60 usually fine for quantity: 1 |
qwen, promptExtend: false | 10–15 s | wait=60 usually fine |
qwen, promptExtend: true (default) | 60–100 s | Prompt rewriting adds ~60–90 s. Submit with wait=0 and poll, or turn it off |
fal Qwen2 (create / edit) | 10–30 s | wait=60 usually fine |
fal Qwen2 Pro (proCreateImage / proEditImage) | 20–60 s | wait=60 sometimes; fall back to wait=0 on busy periods |
Large quantity or atypical aspect ratios push toward the 100-second request timeout — submit with wait=0 and poll.
Cost
Billed in Buzz on the workflow's transactions. Use whatif=true for an exact preview; see Payments (Buzz) for currency selection.
sdcpp Qwen-Image 20B — per-pixel + per-step scaling, with editImage carrying a flat higher base:
createImage / createVariant:
total = 30 × (width × height / 1328²) × (steps / 20) × quantity
editImage:
total = 40 × (width × height / 1024²) × (steps / 20) × (1 + (numImages − 1) × 0.1) × quantity| Shape | Buzz |
|---|---|
createImage, 1024²/steps: 20/quantity: 1 | ~18 |
createImage, 1328²/steps: 20/quantity: 1 | ~30 |
createImage, 1024²/steps: 20/quantity: 4 | ~72 |
editImage, 1 ref, 1024²/steps: 20 | 40 |
editImage, 3 refs, 1024²/steps: 20 | 48 |
Alibaba-hosted models (engine: "qwen") — flat per generated image, no pixel or step scaling:
total = base × quantitymodel | Buzz per image |
|---|---|
2.0, edit-plus* | 45.5 / 39 |
plus | 39 |
edit | 58.5 |
3.0-pro, 2.0-pro, max, edit-max | 97.5 |
* 2.0 is 45.5; edit-plus is 39.
FAL Qwen2 (engine: "fal") — fixed per operation, per image. createImage / editImage are cheapest; proCreateImage / proEditImage cost meaningfully more. Use whatif=true to confirm pricing for your shape.
Troubleshooting
| Symptom | Likely cause | Fix |
|---|---|---|
400 with "ecosystem must be qwen" | Typo | Lowercase "qwen" — not "Qwen" or "qwen2" (that's the fal model, not the sdcpp ecosystem). |
400 with "version must be one of" | Picked a version that isn't valid for that operation | Edit supports latest/2509/2511; create + variant support latest/2509/2512. |
400 with unexpected "width/height" error on edit/variant | Dimensions conflict with source resolution | Omit width/height; they auto-populate from the source. |
400 with "imageSize must be one of" on fal | Arbitrary dimensions on the fal path | The fal path uses the enum — pick square_hd, landscape_16_9, etc. Use engine: "qwen" or the sdcpp path for arbitrary dimensions. |
400 "does not support custom output dimensions" on engine: "qwen" | width/height sent to model: "edit" | That model always matches the input image — omit both fields. |
400 "generates at most 1 image(s)" | quantity > 1 on max, plus or edit | Those models return a single image per request; submit multiple steps instead. |
| Prompt visibly rewritten before generation | promptExtend defaults to true on engine: "qwen" | Set promptExtend: false to send it verbatim. |
400 with "images maxItems" | More than 10 source images on sdcpp editImage, or more than 3 on fal editImage | Trim the array. |
| LoRA has no effect | Only the sdcpp path supports LoRAs | Switch to engine: "sdcpp", ecosystem: "qwen". |
| Output ignores the prompt | cfgScale too low (Qwen wants ~2.5, far below SD1/SDXL's 7) or enablePromptExpansion rewriting your carefully-tuned text | Bump cfgScale toward 4 on sdcpp; set enablePromptExpansion: false on fal. |
Request timed out (wait expired) | Large quantity, Pro tier on busy queue | Resubmit with wait=0 and poll. |
Step failed, reason = "blocked" | Prompt or input image hit content moderation | Don't retry the same input — see Errors & retries → Step-level failures. |
Related
SubmitWorkflow— operation used by every example hereGetWorkflow— for polling- Flux 2 / Flux 1 image generation — alternative open-weights families
- SDXL / SD1 image generation — classic Stable Diffusion ecosystems
- Image upscaling — chain after
imageGenfor higher-res output - Prompt enhancement — LLM-rewrite a prompt before feeding it in via
$ref - Full parameter catalog: the
Qwen20b<Operation>Input(sdcpp),QwenApiCreateImageGenInput/QwenApiEditImageGenInput(qwen) andQwen2<Operation>FalImageGenInput/Qwen2Pro<Operation>FalImageGenInput(fal) schemas in the API reference imageGenendpoint OpenAPI spec — standalone OpenAPI 3.1 YAML covering the fullimageGensurface; import into Postman / OpenAPI Generator