Qwen Image Text To Image 2512 LoRA
Playground
Try it on WavespeedAI!Qwen-Image-2512 LoRA is an enhanced 20B MMDiT text-to-image model with LoRA support for fast customization and refined image generation. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Qwen Image 2512 LoRA
Qwen Image 2512 LoRA is an enhanced version of the 20B MMDiT text-to-image model with LoRA support for fine-tuned control over style, characters, or artistic domains. Combine world-class text rendering with personalized generation through custom LoRA weights.
Why Choose This?
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LoRA integration Import external .safetensors LoRA weights and control blending strength via scale parameter. Stack up to 3 LoRAs for hybrid results.
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Superior text rendering Rivals GPT-4o in English and is best-in-class for Chinese typography. Text is seamlessly integrated into images, not overlaid.
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Bilingual support Handles Chinese and English with diverse fonts and complex layouts.
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Style versatility Photorealistic, anime, impressionist, or minimalist styles — all supported with consistent quality.
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Reproducible results Lock the seed to maintain subject consistency when experimenting with different LoRAs.
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Describe the image you want to create |
| width | No | Image width in pixels (up to 1536) |
| height | No | Image height in pixels (up to 1536) |
| lora_path | No | LoRA path (owner/model-name) or external .safetensors URL |
| lora_scale | No | LoRA strength (default: 1.0) |
| seed | No | Random seed for reproducible results (-1 for random) |
| output_format | No | Output format: jpeg, png, or webp |
How to Use
- Enter your prompt — describe the image with detailed narrative and any embedded text.
- Set size — adjust width and height up to 1536x1536 pixels.
- Add LoRAs — paste the path or URL of the LoRA .safetensors file (maximum 3 LoRAs).
- Adjust scale — set LoRA strength (0.5 for subtle, 1.0 for full effect).
- Set seed (optional) — use -1 for random, or specify a number for reproducibility.
- Choose output format — select jpeg, png, or webp.
- Run — preview results and iterate with different LoRA scales.
Pricing
| Item | Cost |
|---|---|
| Per image | $0.025 |
Simple flat-rate pricing regardless of image size or LoRA count.
Best Use Cases
- Character Consistency — Use character LoRAs to maintain identity across multiple generations.
- Style Transfer — Apply specific art style LoRAs for consistent visual branding.
- IP Creation — Combine multiple LoRAs for unique hybrid aesthetics.
- Marketing Materials — Create on-brand visuals with custom trained styles.
- Typography Design — Generate posters, logos, and signage with readable bilingual text.
Pro Tips
- Use specific LoRAs for characters, art styles, or IP consistency.
- Combine multiple LoRAs for hybrid results (e.g., anime + steampunk).
- Adjust scale carefully — too high may distort, too low may fade.
- Lock the seed to maintain subject consistency when swapping LoRAs.
Notes
- Use Qwen Image LoRA Trainer to create compatible LoRAs for this model.
- LoRAs from official platforms (Civitai or Hugging Face) are also supported.
- Processing speed is approximately 6-10 seconds per image.
Related Models
- Qwen Image 2512 — Base text-to-image model without LoRA support.
- Qwen Image Edit 2511 — Image editing model for precise visual modifications.
- Qwen Image Edit Plus — Enhanced editing with dual-mode and bilingual text editing.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/qwen-image/text-to-image-2512-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"size": "1024*1024",
"loras": [],
"seed": -1,
"output_format": "jpeg",
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| size | string | No | 1024*1024 | 256 ~ 1536 per dimension | The size of the generated media in pixels (width*height). |
| loras | array | No | max 3 items | List of LoRAs to apply (maximum 3). | |
| loras[].path | string | Yes | - | Path to the LoRA model | |
| loras[].scale | float | Yes | - | 0.0 ~ 4.0 | Scale of the LoRA model |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
| output_format | string | No | jpeg | jpeg, png, webp | The format of the output image. |
| enable_sync_mode | boolean | No | false | - | If set to true, the function will wait for the result to be generated and uploaded before returning the response. This property is only available through the API. |
| enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |