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venice-image-edit

Transform existing images with Venice. Covers POST /image/edit (prompt-driven single-image edit), /image/multi-edit (compose multiple images), /image/upscale (2x or 4x upscale), and /image/background-remove. Accepts base64, file upload, or HTTPS URL.

DeepseekModel Curated skill Quality Excellent · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=veniceai-skills-skills-venice-image-edit-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
name venice-image-edit description Transform existing images with Venice. Covers POST /image/edit (prompt-driven single-image edit), /image/multi-edit (compose multiple images), /image/upscale (2x or 4x upscale), and /image/background-remove. Accepts base64, file upload, or HTTPS URL. Venice Image Editing Four endpoints, all operating on existing images: Endpoint Purpose POST /image/edit Transform one image with a text prompt. POST /image/multi-edit Composite / layer several images with a single prompt. Also has a multipart/form-data variant. POST /image/upscale Upscale 2× or 4×. POST /image/background-remove Produce a transparent cutout. For text-to-image generation, see venice-image-generate . Shared rules Input image accepts base64 string , file upload (multipart for /image/multi-edit ), or HTTPS URL (for edit + multi-edit + background-remove). File size < 25 MB . Image dimensions must be between 65,536 (256×256 equivalent) and 33,177,600 pixels (~5,761×5,761). Upscale caps at 16,777,216 pixels after scaling. HTTPS URLs must be publicly reachable from Venice's network. All four endpoints return the image as binary , never JSON. There is no return_binary field on edit / multi-edit / upscale / background-remove (that flag only exists on /image/generate ). /image/edit and /image/multi-edit return image/png , image/jpeg , or image/webp depending on output_format ; /image/upscale and /image/background-remove always return image/png . /image/edit Edit one image with a short, descriptive prompt. curl https://api.venice.ai/api/v1/image/edit \ -H "Authorization: Bearer $VENICE_API_KEY " \ -H "Content-Type: application/json" \ -d '{ "model": "firered-image-edit", "prompt": "Change the color of the sky to a sunrise", "image": "iVBORw0KGgoAAAANSUhEUg...", "aspect_ratio": "16:9", "safe_mode": true }' Field Notes model Default firered-image-edit . See GET /models?type=inpaint for edit-capable models. modelId is accepted for backwards compatibility but deprecated on /image/edit — prefer model . prompt Required, ≤ 32 768 chars (usually 1500 is plenty). Short & specific works best. image Required. Base64 string, file upload, or https:// URL. aspect_ratio Optional: auto , 1:1 , 3:2 , 16:9 , 21:9 , 9:16 , 2:3 , 3:4 , 4:5 . Supported values vary per model — check constraints on GET /models . resolution Optional tier, e.g. "1K" , "2K" , "4K" . Defaults to "1K" . Supported values vary per model. output_format Optional jpeg | png | webp . When omitted, inferred from resolution : PNG for 1K, JPEG for 2K/4K. enhance_prompt Optional bool, default false . Rewrites your prompt against the input image before editing. Costs extra credits and adds up to ~30 s. The rewritten prompt comes back URL-encoded in the x-venice-enhanced-prompt response header. disable_prompt_optimization_thinking Optional bool. Skips the model's prompt-optimization thinking step for speed. Only honored by models with supportsOptimizePromptThinking ; ignored elsewhere. safe_mode Default true ; blurs adult content. Good prompts: "remove the tree" , "add sunglasses to the cat" , "make the sky a vivid orange sunrise" . Edit-capable model IDs change often. Read them from GET /models?type=inpaint rather than pinning a literal, and note that older IDs like qwen-edit have been retired in favor of qwen-image-2-edit and friends. /image/multi-edit Combine several images into one with a prompt. The first image is the base ; the rest are layers / masks / references. The minimum is 1 image and the maximum is model-specific — read capabilities.maxInputImages from GET /models . Field name: /image/multi-edit takes modelId , not model . This is the only image endpoint that uses modelId as the primary field name. JSON (base64 or URLs) { "modelId" : "firered-image-edit" , "prompt" : "Place the person from image 2 onto the beach in image 1" , "images" : [ "https://example.com/beach.jpg" , "data:image/png;base64,iVBOR..." ] , "safe_mode" : true } Multipart (file upload) POST /image/multi-edit Content-Type: multipart/form-data --boundary Content-Disposition: form-data; name="modelId" firered-image-edit --boundary Content-Disposition: form-data; name="prompt" Place the person from image 2 onto the beach in image 1 --boundary Content-Disposition: form-data; name="images"; filename="base.jpg" Content-Type: image/jpeg <bytes> --boundary Content-Disposition: form-data; name="images"; filename="subject.png" Content-Type: image/png <bytes> --boundary-- Field Notes modelId Required field name (multi-edit does not accept model ). Default firered-image-edit . prompt Required, ≤ 32 768 chars. images Required. Minimum 1; maximum is model-specific ( capabilities.maxInputImages ). JSON variant accepts base64 or HTTPS URLs; multipart variant accepts raw file parts. aspect_ratio Optional; inferred from the first image when set to auto or omitted. resolution Optional tier, e.g. "1K" , "2K" , "4K" . Defaults to "1K" . output_format Optional jpeg | png | webp . Inferred from resolution when omitted. quality Optional low | medium | high for models that support it (e.g. GPT Image 2). Higher values can raise the charge. enhance_prompt Optional bool, default false . Same behavior and x-venice-enhanced-prompt header as /image/edit . disable_prompt_optimization_thinking Optional bool. safe_mode Default true . /image/upscale Upscale 2× or 4×. This endpoint has three fields . Breaking change: /image/upscale no longer accepts enhance , enhanceCreativity , enhancePrompt , or replication , and no longer accepts scale: 1 . The enhancer knobs were replaced by a single creativity field with a much narrower range. If you are sending the old fields, drop them. curl https://api.venice.ai/api/v1/image/upscale \ -H "Authorization: Bearer $VENICE_API_KEY " \ -H "Content-Type: application/json" \ -d '{ "image": "iVBORw0KGgo...", "scale": 4, "creativity": 0.01 }' Field Type Default Notes image base64, file upload — Required. Must be ≥ 65 536 px² to start, < 25 MB, and ≤ 16 777 216 px after scaling. scale number, 2 or 4 2 Must be either 2 or 4 . 4 on large images is dynamically reduced to stay within the 16 MP output cap. creativity number, 0–0.02 0.01 How much detail and texture the upscaler adds. Higher adds more; lower stays closer to the source. Values outside the range are clamped, so 0.5 behaves as 0.02 , not as "half creative". Nullable. Also available as multipart/form-data . Response is the upscaled image as binary image/png . /image/background-remove Produce a transparent PNG cutout. # With base64 curl https://api.venice.ai/api/v1/image/background-remove \ -H "Authorization: Bearer $VENICE_API_KEY " \ -H "Content-Type: application/json" \ -d '{"image": "iVBOR..."}' # With a URL curl https://api.venice.ai/api/v1/image/background-remove \ -H "Authorization: Bearer $VENICE_API_KEY " \ -H "Content-Type: application/json" \ -d '{"image_url": "https://example.com/photo.jpg"}' Send either image (base64 / file) or image_url . Response is image/png with alpha channel. Error behavior (all four endpoints) Code Cause 400 Bad params — image dims out of range, file too large, unknown model, unsupported aspect ratio for the model, content-policy refusal. 401 Auth failed. (Pro-gating on these paths surfaces as 400 / 402 depending on condition.) 402 Insufficient balance. Bearer: plain { "error": "Insufficient balance" } . x402: PAYMENT_REQUIRED body + PAYMENT-REQUIRED header. 415 Wrong Content-Type (e.g. JSON sent to a multipart endpoint, or vice versa). 429 Rate limited. 500 / 503 Inference / capacity issue — retry with jitter. ( 413 and 422 are not documented for these image paths in the OpenAPI spec — a 413 from the platform may still appear if you exceed ingress limits, but treat 400 / 415 as the primary failure surface.) Gotchas /image/multi-edit images[] explicitly accepts data:image/...;base64,... URLs or plain base64. For /image/edit and /image/upscale , send base64 as a plain string unless the docs say otherwise — if your client adds a data: prefix and you get a 400 , strip it. For multipart /image/multi-edit , the field name is images and you send multiple parts with the same field name — order matters (base first). Field-name asymmetry: /image/edit prefers model ( modelId is a deprecated alias). /image/multi-edit accepts only modelId . Get the name right per endpoint — sending the wrong one is a 400 . /image/upscale with scale=4 on a large input is silently clamped to stay under 16 MP. creativity on /image/upscale is not the old enhanceCreativity under a new name. Its usable range is 0 to 0.02, so port enhanceCreativity: 0.5 as creativity: 0.02 (the maximum), not as 0.5 . enhance_prompt on edit / multi-edit bills extra credits whenever a rewrite is produced. Leave it off for latency-sensitive or cost-sensitive calls. safe_mode: true can blur otherwise valid inputs if the source image trips content classifiers; switch to false (and handle the legal/ToS consequences yourself) when you control the input. /image/background-remove takes either image or image_url , not both.
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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