# turbowani2v

> TurboDiffusion I2V: Wan2.2-A14B-720P, 4-step distilled, SLA

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-turbowani2v
- Model llms.txt: https://chutes.ai/app/chute/vonkaiser-turbowani2v/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: `turbowani2v`
- Chute ID: `7794b47d-068d-5756-b150-cc10152da867`
- Slug: `vonkaiser-turbowani2v`
- 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-turbowani2v.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

- Short, physical motion descriptions usually work better than broad cinematic prompts.
- Use a clear source image; blurry or low-contrast images produce less stable motion.

## Endpoints

### 1. POST /generate

- Base URL: `https://vonkaiser-turbowani2v.chutes.ai`
- Output content type: `video/mp4`
- Playground note: Upload a strong first frame and describe motion, camera movement, and duration cues in the prompt.

Request fields:

- `prompt` (string, optional) Default: "A cat wearing sunglasses sits on a surfboard, the ocean waves gently rocking it".
- `image_b64` (string, optional) Default: "".

Example call:

```bash
curl -X POST "https://vonkaiser-turbowani2v.chutes.ai/generate" \
  -H "Authorization: Bearer $CHUTES_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "prompt": "a serene mountain lake at sunset",
  "ode": true,
  "seed": 42,
  "boundary": 0.9,
  "sla_topk": 0.1,
  "num_steps": 4,
  "sigma_max": 200,
  "resolution": "480p",
  "aspect_ratio": "16:9",
  "adaptive_resolution": true
}' \
  --output output.mp4
```

Playground presets:

- Subtle product motion
- Animated scene

## 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.