# Qwen-Image-TEE

> Qwen/Qwen-Image-2512

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-tee
- Model llms.txt: https://chutes.ai/app/chute/vonkaiser-qwen-image-tee/llms.txt
- Model OpenAPI 3.1 spec (this chute, callable): https://chutes.ai/app/chute/vonkaiser-qwen-image-tee/openapi.json
- Global Chutes llms.txt: https://chutes.ai/llms.txt
- Full Chutes docs export: https://chutes.ai/llms-full.txt
- Management API OpenAPI (account/billing/keys, NOT this model): https://api.chutes.ai/openapi.json

## Model Identifiers

- Name: `Qwen-Image-TEE`
- Chute ID: `c5cbd4df-7460-502b-a9f1-01071c670692`
- Slug: `vonkaiser-qwen-image-tee`
- 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-tee.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.

## Pricing

- $2.25 per hour
- Check the model page for current pricing.

## Endpoints

### 1. POST /generate

- Base URL: `https://vonkaiser-qwen-image-tee.chutes.ai`
- Output content type: `image/jpeg`

Request fields:

- `seed` (integer, optional) Default: null.
- `width` (integer, optional) Default: 1024.
- `height` (integer, optional) Default: 1024.
- `prompt` (string, required)
- `true_cfg_scale` (number, optional) Default: 4.
- `negative_prompt` (string, optional) Default: "".
- `num_inference_steps` (integer, optional) Default: 30.

Example call:

cURL:

```bash
curl -X POST "https://vonkaiser-qwen-image-tee.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,
  "true_cfg_scale": 4,
  "negative_prompt": "",
  "num_inference_steps": 30
}' \
  --output output.jpg
```

Python:

```python
import os
import requests

api_key = os.environ.get("CHUTES_API_KEY")
if not api_key:
    raise ValueError("Missing CHUTES_API_KEY")

url = "https://vonkaiser-qwen-image-tee.chutes.ai/generate"
headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json",
}
data = {
    "prompt": "a serene mountain lake at sunset",
    "seed": 42,
    "width": 1024,
    "height": 1024,
    "true_cfg_scale": 4,
    "negative_prompt": "",
    "num_inference_steps": 30
}

response = requests.request("POST", url, headers=headers, json=data)
response.raise_for_status()

with open("output.jpg", "wb") as f:
    f.write(response.content)
print("Saved output.jpg (" + str(len(response.content)) + " bytes)")
```

## 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.