# Qwen-Image-2512 > 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-2512 - Model llms.txt: https://chutes.ai/app/chute/vonkaiser-qwen-image-2512/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-2512` - Chute ID: `700fee6b-2cf1-519f-9222-634e8b41601a` - Slug: `vonkaiser-qwen-image-2512` - 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-2512.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 - Use short negative prompts for obvious exclusions rather than long lists. - Keep dimensions moderate while iterating, then increase quality settings for final runs. ## Endpoints ### 1. POST /generate - Base URL: `https://vonkaiser-qwen-image-2512.chutes.ai` - Output content type: `image/jpeg` - Playground note: Start with a concrete subject, style, composition, lighting, and output constraints. Request fields: - `prompt` (string, optional) Default: "a beautiful mountain landscape". Example call: ```bash curl -X POST "https://vonkaiser-qwen-image-2512.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 ``` Playground presets: - Clean product render - Editorial illustration ## 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.