[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-venice-ai-venice-image-generate":3,"mdc--ohr9oj-key":31,"related-org-venice-ai-venice-image-generate":4470,"related-repo-venice-ai-venice-image-generate":4640},{"slug":4,"name":4,"fn":5,"description":6,"org":7,"tags":12,"stars":20,"repoUrl":21,"updatedAt":22,"license":23,"forks":24,"topics":25,"repo":26,"sourceUrl":29,"mdContent":30},"venice-image-generate","generate images with Venice","Generate images with Venice. Covers POST \u002Fimage\u002Fgenerate (Venice-native), POST \u002Fimages\u002Fgenerations (OpenAI-compatible), GET \u002Fimage\u002Fstyles (style presets), request fields (prompt, dimensions, cfg_scale, seed, variants, style_preset, style_references, aspect_ratio, resolution, safe_mode, watermark), and response formats.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":11},"venice-ai","Venice AI","https:\u002F\u002Fpexgzepcugksgbtrxkhf.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Forg-logos\u002Fvenice-ai.png","veniceai",[13,17],{"name":14,"slug":15,"type":16},"Creative","creative","tag",{"name":18,"slug":19,"type":16},"Image Generation","image-generation",119,"https:\u002F\u002Fgithub.com\u002Fveniceai\u002Fskills","2026-08-01T05:43:20.708133",null,15,[],{"repoUrl":21,"stars":20,"forks":24,"topics":27,"description":28},[],"Agent Skills for the Venice.ai API. One folder per surface area, each with a SKILL.md for agent runtimes (Cursor, Claude, Codex, etc.).","https:\u002F\u002Fgithub.com\u002Fveniceai\u002Fskills\u002Ftree\u002FHEAD\u002Fskills\u002Fvenice-image-generate","---\nname: venice-image-generate\ndescription: Generate images with Venice. Covers POST \u002Fimage\u002Fgenerate (Venice-native), POST \u002Fimages\u002Fgenerations (OpenAI-compatible), GET \u002Fimage\u002Fstyles (style presets), request fields (prompt, dimensions, cfg_scale, seed, variants, style_preset, style_references, aspect_ratio, resolution, safe_mode, watermark), and response formats.\n---\n\n# Venice Image Generation\n\nTwo text-to-image endpoints:\n\n1. **`POST \u002Fapi\u002Fv1\u002Fimage\u002Fgenerate`** — Venice-native, full control (negative prompts, CFG, seed, up to 4 variants).\n2. **`POST \u002Fapi\u002Fv1\u002Fimages\u002Fgenerations`** — OpenAI-compatible, fewer knobs but drop-in for the OpenAI SDK.\n\nPlus:\n\n- **`GET \u002Fapi\u002Fv1\u002Fimage\u002Fstyles`** — list of style preset names for `style_preset`.\n\nFor editing \u002F upscaling \u002F multi-image \u002F background removal, see [`venice-image-edit`](..\u002Fvenice-image-edit\u002FSKILL.md).\n\n## Use when\n\n- You need to generate images from text prompts.\n- You need multiple variants in one call.\n- You're porting from OpenAI's `images.generate` and want a zero-change SDK swap.\n- You want to browse style presets before committing to one.\n- You want generated images to match the look of existing images (`style_references`).\n\n## `\u002Fimage\u002Fgenerate` — Venice-native\n\n### Request\n\n```bash\ncurl https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\u002Fimage\u002Fgenerate \\\n  -H \"Authorization: Bearer $VENICE_API_KEY\" \\\n  -H \"Content-Type: application\u002Fjson\" \\\n  -d '{\n    \"model\": \"z-image-turbo\",\n    \"prompt\": \"A beautiful sunset over a mountain range\",\n    \"width\": 1024,\n    \"height\": 1024,\n    \"cfg_scale\": 7.5,\n    \"steps\": 8,\n    \"seed\": 123456789,\n    \"variants\": 1,\n    \"format\": \"webp\",\n    \"style_preset\": \"3D Model\",\n    \"safe_mode\": true\n  }'\n```\n\n### Fields\n\n| Field | Type | Default | Notes |\n|---|---|---|---|\n| `model` | string | — | **Required.** Image model ID. `GET \u002Fmodels?type=image`. |\n| `prompt` | string | — | **Required.** Max `promptCharacterLimit` from the model's `model_spec.constraints` (typically 1500–7500). |\n| `negative_prompt` | string | — | Describe what *not* to show. Same character cap as prompt. |\n| `width`, `height` | int | 1024, 1024 | ≤ 1280 each. Must be divisible by `constraints.widthHeightDivisor` on the model's `model_spec`. |\n| `aspect_ratio` | string | — | `\"1:1\"`, `\"16:9\"`, `\"9:16\"`, … — used by models like Nano Banana instead of width\u002Fheight. |\n| `resolution` | string | — | `\"1K\"`, `\"2K\"`, `\"4K\"` — used by resolution-driven models. |\n| `cfg_scale` | number | model default | 0 \u003C x ≤ 20. Higher = more prompt adherence. |\n| `steps` | int | 8 | Inference steps. Some models ignore it (e.g. Turbo). |\n| `seed` | int | 0 | `-999999999..999999999`. Use `0`\u002Fomit for random. |\n| `variants` | int | 1 | 1–4. Only if `return_binary: false`. |\n| `lora_strength` | int | — | 0–100 when model uses Loras. |\n| `style_preset` | string | — | Value from `GET \u002Fimage\u002Fstyles`. |\n| `style_references` | array | — | Reference images that guide the aesthetic of the output. Each item: `{ \"image\": \u003Cbase64 or http(s) URL, \u003C8MB>, \"strength\": 0.1–1 (default 0.5) }`. Only on models with `supportsStyleReferences: true`; per-model cap in `constraints.maxStyleReferences`. `strength` is ignored when `constraints.supportsStyleReferenceStrength` is `false`. |\n| `quality` | `\"low\"`\u002F`\"medium\"`\u002F`\"high\"` | — | Output quality on models that support it (e.g. GPT Image 2). Higher values can raise the request charge. |\n| `enhance_prompt` | bool | `false` | Rewrite the prompt to add clarifying visual detail before generating. Costs extra credits when a rewrite happens and adds up to ~30 s. The final prompt returns URL-encoded in the `x-venice-enhanced-prompt` response header. |\n| `disable_prompt_optimization_thinking` | bool | model default | Skip the model's prompt-optimization thinking step for speed. Only honored by models with `supportsOptimizePromptThinking`. |\n| `format` | `\"webp\"`\u002F`\"png\"`\u002F`\"jpeg\"` | `webp` | Response image format. |\n| `return_binary` | bool | `false` | `true` → binary `image\u002F*` response; `false` → JSON with base64. |\n| `embed_exif_metadata` | bool | `false` | Embed prompt info in EXIF. |\n| `hide_watermark` | bool | `false` | Venice may still watermark certain content. |\n| `safe_mode` | bool | `true` | Blurs adult content. |\n| `enable_web_search` | bool | `false` | Only some models. Charges extra. |\n| `inpaint` | — | — | **Deprecated** since May 19 2025. A new inpaint API is forthcoming. |\n\n### Response (JSON, `return_binary: false`)\n\n```json\n{\n  \"id\": \"...\",\n  \"images\": [\"\u003Cbase64>\", \"\u003Cbase64>\"],\n  \"timing\": {...},\n  \"request\": {...}\n}\n```\n\nWith `return_binary: true`, response is raw `image\u002Fwebp` (or `png`\u002F`jpeg`) with matching `Content-Type`.\n\n## `\u002Fimages\u002Fgenerations` — OpenAI-compatible\n\nUse this if you're already on the OpenAI SDK. Field names match `openai.images.generate()`.\n\n```ts\nimport OpenAI from 'openai'\n\nconst client = new OpenAI({\n  apiKey: process.env.VENICE_API_KEY,\n  baseURL: 'https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1',\n})\n\nconst res = await client.images.generate({\n  model: 'z-image-turbo',\n  prompt: 'A beautiful sunset over mountain ranges',\n  size: '1024x1024',\n  response_format: 'b64_json',\n})\n\nconst b64 = res.data[0].b64_json\n```\n\n### Mapped fields\n\n| Field | Values | Notes |\n|---|---|---|\n| `model` | string, default `\"default\"` | Unknown model IDs fall back to Venice's default. |\n| `prompt` | string, ≤ 1500 chars | Required. |\n| `size` | `auto`, `256x256`, `512x512`, `1024x1024`, `1536x1024`, `1024x1536`, `1792x1024`, `1024x1792` | — |\n| `output_format` | `jpeg` \u002F `png` \u002F `webp` | Defaults to `png`. |\n| `response_format` | `b64_json` \u002F `url` | `url` returns a `data:` URL (not a hosted URL). |\n| `moderation` | `auto` (safe mode on) \u002F `low` (safe mode off) | — |\n| `n` | `1` | Venice only supports a single image per call here. |\n| `quality`, `style` (`vivid`\u002F`natural`), `background`, `output_compression`, `user` | — | Accepted for OpenAI compat, not used by Venice. |\n\nIf you need `variants`, `seed`, `negative_prompt`, `cfg_scale`, `style_preset`, or `style_references`, switch to `\u002Fimage\u002Fgenerate`.\n\n## `\u002Fimage\u002Fstyles` — list presets\n\n```bash\ncurl https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\u002Fimage\u002Fstyles \\\n  -H \"Authorization: Bearer $VENICE_API_KEY\"\n```\n\nReturns a list of `styles[]`, each with a `name` you can pass to `style_preset`. Cache this — it's small and stable.\n\n## Choosing a model\n\n```bash\ncurl \"https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\u002Fmodels?type=image\" \\\n  -H \"Authorization: Bearer $VENICE_API_KEY\"\n```\n\nInspect per-model `model_spec`:\n\n- `constraints.widthHeightDivisor` — `width` and `height` must both be divisible by this.\n- `constraints.aspectRatios[]` + `defaultAspectRatio` — if present, the model supports aspect-ratio-driven sizing.\n- `constraints.resolutions[]` + `defaultResolution` — if present, the model supports `resolution` (`1K`\u002F`2K`\u002F`4K`).\n- `constraints.steps.{default,max}` — step bounds (some models ignore `steps` entirely).\n- `constraints.promptCharacterLimit` — max prompt length (also applies to `negative_prompt`).\n- `supportsStyleReferences` — whether the model accepts `style_references` on `\u002Fimage\u002Fgenerate`.\n- `constraints.maxStyleReferences` — max number of style reference images (only present on supporting models).\n- `constraints.supportsStyleReferenceStrength` — whether per-reference `strength` is honored (only present on supporting models).\n- `pricing.generation.usd` — flat USD per image, or `pricing.resolutions[].usd` for resolution-tiered models.\n\nPick a model that matches the **feature + size combo** you plan to use.\n\n## Common patterns\n\n### Fixed-seed A\u002FB test\n\n```json\n{\"model\": \"z-image-turbo\", \"prompt\": \"...\", \"seed\": 42, \"variants\": 4}\n```\n\n### Aspect-ratio-driven model (Nano Banana family)\n\n```json\n{\"model\": \"nano-banana-2\", \"prompt\": \"...\", \"aspect_ratio\": \"16:9\", \"resolution\": \"2K\"}\n```\n\n(Other nano-banana variants: `nano-banana-pro`. Always verify the current ID via `GET \u002Fmodels?type=image`.)\n\n### Style preset + negative\n\n```json\n{\n  \"model\": \"z-image-turbo\",\n  \"prompt\": \"a red sports car in a parking lot\",\n  \"negative_prompt\": \"blurry, people, clouds\",\n  \"style_preset\": \"3D Model\"\n}\n```\n\n### Style references (match the look of existing images)\n\n```json\n{\n  \"model\": \"krea-v2-large\",\n  \"prompt\": \"a lighthouse on a rocky coast at dusk\",\n  \"style_references\": [\n    { \"image\": \"https:\u002F\u002Fexample.com\u002Fref-1.png\", \"strength\": 0.8 },\n    { \"image\": \"data:image\u002Fpng;base64,....\", \"strength\": 0.4 }\n  ]\n}\n```\n\nDescribe the **subject** in the prompt; the references carry the **style**. As of mid-2026 the supporting models are `krea-v2-large` \u002F `krea-v2-medium` (up to 3 refs, strength honored) and `luma-uni-1` \u002F `luma-uni-1-max` (up to 3 refs, strength ignored) — all anonymized routing. Always re-verify via `GET \u002Fmodels?type=image` (`supportsStyleReferences`).\n\n### Stream binary to disk (Node)\n\n```ts\nconst res = await fetch('https:\u002F\u002Fapi.venice.ai\u002Fapi\u002Fv1\u002Fimage\u002Fgenerate', {\n  method: 'POST',\n  headers: { Authorization: `Bearer ${process.env.VENICE_API_KEY}`, 'Content-Type': 'application\u002Fjson' },\n  body: JSON.stringify({ model: 'z-image-turbo', prompt: '...', return_binary: true }),\n})\nif (!res.ok) throw new Error(await res.text())\nconst buf = Buffer.from(await res.arrayBuffer())\nawait fs.writeFile('out.webp', buf)\n```\n\n## Errors\n\n| Code | Meaning |\n|---|---|\n| `400` | Bad params (e.g. dimensions not divisible by `widthHeightDivisor`, prompt too long, `variants>1` with `return_binary`). |\n| `401` | Auth or Pro-only model. |\n| `402` | Insufficient balance. Bearer: plain `{ \"error\": \"Insufficient balance\" }`; x402: `PAYMENT_REQUIRED` body + `PAYMENT-REQUIRED` header. |\n| `415` | Wrong `Content-Type` (send `application\u002Fjson` for this endpoint). |\n| `429` | Rate limited. |\n| `500` \u002F `503` | Inference or capacity issue — retry with jitter. |\n\n(Content-policy violations on `\u002Fimage\u002Fgenerate` come back as `400` with an error string, not `422` — the `422` shape is specific to audio generation paths.)\n\n## Gotchas\n\n- Each model picks one sizing idiom: either `width`\u002F`height`, `aspect_ratio` + `resolution`, or (OpenAI-compat) `size`. Match the model's `constraints`.\n- `variants > 1` requires `return_binary: false` (JSON with base64 array).\n- `steps` is ignored by fast\u002Fturbo models; they hardcode step count internally.\n- `hide_watermark: true` is advisory — Venice may still watermark content flagged by safety classifiers.\n- Old `inpaint` field is deprecated; don't use it.\n- `style_references` is silently unsupported outside the models flagged `supportsStyleReferences: true`; check the flag rather than trying and inspecting output. Each reference image must be \u003C 8MB.\n- For OpenAI-compat, `response_format: \"url\"` returns a **data URL**, not a hosted URL — plan for that if you're saving to storage.\n",{"data":32,"body":33},{"name":4,"description":6},{"type":34,"children":35},"root",[36,45,51,86,91,117,134,141,185,197,204,429,435,1343,1356,1546,1589,1601,1613,2025,2031,2388,2437,2449,2496,2524,2530,2584,2595,2791,2803,2809,2815,2944,2950,3094,3114,3120,3280,3286,3545,3604,3610,4094,4100,4291,4325,4331,4465],{"type":37,"tag":38,"props":39,"children":41},"element","h1",{"id":40},"venice-image-generation",[42],{"type":43,"value":44},"text","Venice Image Generation",{"type":37,"tag":46,"props":47,"children":48},"p",{},[49],{"type":43,"value":50},"Two text-to-image 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