# venice-image-edit

This skill guides an agent through editing images with Venice, combining inputs, upscaling, and removing backgrounds. Use it when a task starts with an existing image.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · ★ 160
- Author: veniceai
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/veniceai/skills/tree/HEAD/skills/venice-image-edit/SKILL.md
- Updated: 2026-10-23
- HTML: https://affpapa.org/en/nevibecode/skills/veniceai-venice-image-edit

## What it does

The skill covers four Venice API operations: `/image/edit` applies a text prompt to one image, `/image/multi-edit` combines several, `/image/upscale` enlarges an image by 2–4×, and `/image/background-remove` returns a transparent PNG. It also explains input formats and how to inspect model options with `GET /models?type=inpaint`.

Depending on the operation, an image can be supplied as base64, a data URI, a URL, or a multipart file. API requests use the `VENICE_API_KEY` key. URLs are fetched by the server, so they must be publicly reachable; private and internal addresses are blocked. Model limits vary, including prompt length and the number of images accepted, so check the selected model’s constraints before sending a request.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add veniceai/skills --skill venice-image-edit -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/venice-image-edit/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/venice-image-edit/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add veniceai/skills --skill venice-image-edit -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/venice-image-edit/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add veniceai/skills --skill venice-image-edit -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/venice-image-edit/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install veniceai/skills venice-image-edit
```

2. **Manually: put the files in place**
- File: `.github/skills/venice-image-edit/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add veniceai/skills --skill venice-image-edit -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/veniceai/skills --path skills/venice-image-edit
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/venice-image-edit/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add veniceai/skills --skill venice-image-edit -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/veniceai/skills/tree/HEAD/skills/venice-image-edit/SKILL.md

## When to use it
- edit an image from a text prompt
- combine multiple images into one composition
- enlarge an existing image by 2–4×
- remove an image background and return transparent PNG
- check model limits before editing

## Example prompts
- Edit this photo by changing the sky to a sunrise while keeping the rest of the scene.
- Combine these images into one composition using my description.
- Remove the background from this image and return a transparent PNG.

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: 373ee19d1d23bef3.

BEGIN THIRD-PARTY FILE 373ee19d1d23bef3
````text
---
name: venice-image-edit
description: Transform existing images with Venice. Covers POST /image/edit (prompt-driven single-image edit), /image/multi-edit (compose several images, per-model input cap, quality tiers), /image/upscale (2x–4x upscale with creativity), and /image/background-remove (transparent PNG cutout). Input formats (base64, data URI, URL, multipart), per-model constraints from GET /models?type=inpaint, response headers, and errors.
---

# Venice Image Editing

Four endpoints, all operating on existing images:

| Endpoint | Purpose |
|---|---|
| `POST /image/edit` | Transform one image with a text prompt. JSON or `multipart/form-data`. |
| `POST /image/multi-edit` | Composite / layer several images with a single prompt. JSON or `multipart/form-data`. |
| `POST /image/upscale` | Upscale 2×–4×. JSON or `multipart/form-data`. |
| `POST /image/background-remove` | Produce a transparent PNG cutout. JSON or `multipart/form-data`. |

For text-to-image generation, see [`venice-image-generate`](../venice-image-generate/SKILL.md).

## Shared rules

| | `/image/edit` | `/image/multi-edit` | `/image/upscale` | `/image/background-remove` |
|---|---|---|---|---|
| JSON input | `image`: raw base64, data URI, or `http(s)://` URL | `images[]`: raw base64, data URI, or `http(s)://` URLs | `image`: raw base64 only | `image` (base64 / data URI) **or** `image_url` |
| Multipart input | one file in `image` | files in repeated `images` parts | one file in `image` | one file in `image` |
| Min size | ≥ 65,536 px total and ≥ 64 px per side | same | same | not checked by Venice |
| Max size | ≤ 33,177,600 px (7680×4320) | same | output ≤ 16,777,216 px (4096×4096) | not checked by Venice |
| Response | edited image bytes (PNG/JPEG/WebP) | edited image bytes | `image/png` | `image/png` with alpha |
| Model | `model` (default `firered-image-edit`) | `modelId` (default `firered-image-edit`) | fixed: `upscaler` | fixed: `bria-bg-remover` |

- Accepted input formats: JPEG, PNG, WebP, HEIF/HEIC, AVIF. SVG is rejected. Background-remove doesn't pre-validate the format; it passes the image straight to the model.
- Files must be < **25 MB** (multipart files over 25 MB return `413`). URLs fetched for edit and multi-edit are capped at 25 MB too. JSON bodies over 35 MB (for example a large base64 image) return `413`.
- URLs are fetched server-side and must be publicly reachable. Private, internal, and metadata hosts are blocked (`400`).
- All four endpoints return the image as **binary**, never JSON. There is no `return_binary` field (that flag only exists on `/image/generate`).
- JSON bodies on edit, multi-edit, and background-remove are **strict**: unknown fields are a `400`. `/image/upscale` ignores unknown fields.
- Edit, multi-edit, and background-remove accept an optional `anon_user_id` (printable ASCII, ≤ 128 chars, no `||`) for upstream end-user attribution.

## Choosing an edit model

```bash
curl "https://api.venice.ai/api/v1/models?type=inpaint"
```
````
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