Image Edit Qwen2511
Qwen-Image-Edit-2511 is another enhanced iteration based on the previous version, bringing a better experience in terms of character consistency, multi-subject scene stability, editing style capabilities and spatial geometry understanding.
Query Parameters
Optional. Invocation mode. Defaults to synchronous.
"sync" | "async_websocket" | "async_callback"Required when mode=async_callback. Used to receive async results.
Optional. Defaults to false. When true, returns the points cost without executing the task.
Header Parameters
""Request Body
application/json
Upload the image you want to animate into a 5-second video.
Your image description. Tell the AI what you want to see.
""What to avoid in the image. Describe what you don't want.
""The number of images to generate.
5Response Body
application/json
curl -X POST "https://api.crowdcomputed.com/api/v1/generate/image-edit-qwen2511?mode=sync&callback=&costLookup=false" \ -H "token: " \ -H "Content-Type: application/json" \ -d '{ "uploadImage": { "type": "url" }, "prompt": "", "imageCount": 5 }'Text2Image Qwen2512 POST
Qwen-Image-2512 significantly reduces the “AI-generated” look and substantially enhances overall image realism, especially for human subjects; delivers notably more detailed rendering of landscapes, animal fur, and other natural elements; improves the accuracy and quality of textual elements, achieving better layout and more faithful multimodal (text + image) composition
LTX2 Text2Video POST
LTX-2 is the first DiT-based audio-video foundation model that contains all core capabilities of modern video generation in one model: synchronized audio and video, high fidelity, multiple performance modes, production-ready outputs.