# Qwen-Image-Edit-2511

> Qwen/Qwen-Image-Edit-2511

This file is intended for AI coding agents wiring an application to this specific Chutes model.

## Important URLs

- Model page: https://chutes.ai/app/chute/vonkaiser-qwen-image-edit-2511
- Model llms.txt: https://chutes.ai/app/chute/vonkaiser-qwen-image-edit-2511/llms.txt
- Global Chutes llms.txt: https://chutes.ai/llms.txt
- Full Chutes docs export: https://chutes.ai/llms-full.txt
- OpenAPI schema: https://api.chutes.ai/openapi.json

## Model Identifiers

- Name: `Qwen-Image-Edit-2511`
- Chute ID: `968bd316-f8da-52f0-a314-c985467934d6`
- Slug: `vonkaiser-qwen-image-edit-2511`
- Owner: `vonkaiser`

## Authentication

- Use `Authorization: Bearer $CHUTES_API_KEY` for inference calls.
- Send JSON request bodies with `Content-Type: application/json` unless the endpoint documentation says otherwise.
- The request body is FLAT — send the request fields at the top level (no `input_args`/`args` wrapper).
- This model is served on its own host (`https://vonkaiser-qwen-image-edit-2511.chutes.ai`). Call the endpoint paths listed below directly.
- For base64 media fields, send raw base64 strings in API requests. The web playground may use temporary Blob upload references internally for large files before proxying to Chutes.

## Playground Notes

- Large reference images are uploaded through temporary Blob storage automatically.
- Keep width and height at 1024 while testing; larger values cost more and may be slower.

## Endpoints

### 1. POST /generate

- Base URL: `https://vonkaiser-qwen-image-edit-2511.chutes.ai`
- Output content type: `image/jpeg`
- Playground note: Upload one to three reference images, then describe the exact edit rather than the whole final image.

Request fields:

- `prompt` (string, optional) Default: "make the background a tropical beach scene".

Example call:

```bash
# NOTE: replace the image_b64s placeholder(s) with real base64 data first.
curl -X POST "https://vonkaiser-qwen-image-edit-2511.chutes.ai/generate" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "a serene mountain lake at sunset",
  "seed": 42,
  "width": 1024,
  "height": 1024,
  "image_b64s": [
    "<base64-encoded image>"
  ],
  "true_cfg_scale": 1,
  "negative_prompt": "",
  "num_inference_steps": 4
}' \
  --output output.jpg
```

Playground presets:

- Product background swap
- Precise color edit

## Agent Integration Checklist

- Pick the endpoint path that matches the desired task.
- Set `CHUTES_API_KEY` in the server-side environment only.
- Validate required fields before sending requests.
- For media models, keep file upload, base64 conversion, and output preview/download handling explicit in the app UI.