> ## Documentation Index > Fetch the complete documentation index at: https://docs.portkey.ai/docs/llms.txt > Use this file to discover all available pages before exploring further. # Create Image Edit ## OpenAPI ````yaml post /images/edits openapi: 3.0.0 info: title: Portkey API description: >- The Portkey REST API. Please see https://portkey.ai/docs/api-reference for more details. version: 2.0.0 termsOfService: https://portkey.ai/terms contact: name: Portkey Developer Forum url: https://portkey.wiki/community license: name: MIT url: https://github.com/Portkey-AI/portkey-openapi/blob/master/LICENSE servers: - url: https://api.portkey.ai/v1 description: Portkey API Public Endpoint security: - Portkey-Key: [] tags: - name: Assistants description: Build Assistants that can call models and use tools. - name: Audio description: Turn audio into text or text into audio. - name: Chat description: >- Given a list of messages comprising a conversation, the model will return a response. - name: Realtime description: WebSocket proxy for provider Realtime APIs - name: Collections description: Create, List, Retrieve, Update, and Delete collections of prompts. - name: Labels description: Create, List, Retrieve, Update, and Delete labels. - name: Prompt Collections description: Create, List, Retrieve, Update, and Delete prompt collections. - name: PromptPartials description: Create, List, Retrieve, Update, and Delete prompt partials. - name: Prompts description: >- Given a prompt template ID and variables, will run the saved prompt template and return a response. - name: Guardrails description: Create, List, Retrieve, Update, and Delete prompt Guardrails. - name: Completions description: >- Given a prompt, the model will return one or more predicted completions, and can also return the probabilities of alternative tokens at each position. - name: Embeddings description: >- Get a vector representation of a given input that can be easily consumed by machine learning models and algorithms. - name: Rerank description: >- Rerank a list of documents based on their relevance to a query. Supported providers include Cohere, Voyage, Jina, Pinecone, Bedrock, and Azure AI. - name: Fine-tuning description: Manage fine-tuning jobs to tailor a model to your specific training data. - name: Batch description: Create large batches of API requests to run asynchronously. - name: Files description: >- Files are used to upload documents that can be used with features like Assistants and Fine-tuning. - name: Images description: Given a prompt and/or an input image, the model will generate a new image. - name: Models description: List and describe the various models available in the API. - name: Moderations description: >- Given a input text, outputs if the model classifies it as potentially harmful. - name: Configs description: Create, List, Retrieve, and Update your Portkey Configs. - name: Feedback description: Send and Update any feedback. - name: Logs description: Custom Logger to add external logs to Portkey. - name: Integrations description: Create, List, Retrieve, Update, and Delete your Portkey Integrations. - name: Integrations > Workspaces description: Manage workspace access for your Portkey Integrations. - name: Integrations > Models description: Manage model access for your Portkey Integrations. - name: Providers description: Create, List, Retrieve, Update, and Delete your Portkey Providers. - name: Virtual-keys description: Create, List, Retrieve, Update, and Delete your Portkey Virtual keys. - name: Users description: Create and manage users. - name: User-invites description: Create and manage user invites. - name: Workspaces description: Create and manage workspaces. - name: Workspaces > Members description: Create and manage workspace members. - name: MCP Integrations description: Create, List, Retrieve, Update, and Delete MCP Integrations. - name: MCP Integrations > Workspaces description: Manage workspace access for MCP Integrations. - name: MCP Integrations > Capabilities description: List and manage capabilities for MCP Integrations. - name: MCP Integrations > Metadata description: Get MCP Integration metadata and sync info. - name: MCP Servers description: >- Create, List, Retrieve, Update, and Delete MCP Servers (workspace instances of MCP Integrations). - name: MCP Servers > Capabilities description: List and manage capabilities for MCP Servers. - name: MCP Servers > User Access description: List and manage user access for MCP Servers. - name: MCP Servers > Connections description: List and manage user connections for MCP Servers. - name: Api-Keys description: Create, List, Retrieve, Update, and Delete your Portkey API keys. - name: Logs Export description: Exports logs service. - name: Audit Logs description: Get audit logs for your Portkey account. - name: Analytics description: >- Get analytics over different data points like requests, costs, tokens, etc. - name: Analytics > Graphs description: Get data points for graphical representation. - name: Analytics > Summary description: Get overall summary for the selected time bucket. - name: Analytics > Groups description: Get grouped metrics for the selected time bucket. - name: Usage Limits Policies description: Manage usage limits policies to control total usage over time - name: Rate Limits Policies description: Manage rate limits policies to control request or token rates - name: Model Pricing description: Model pricing configurations for 2300+ LLMs across 40+ providers - name: Secret-References description: >- Create, List, Retrieve, Update, and Delete secret references to external secret managers. paths: /images/edits: servers: - url: https://api.portkey.ai/v1 description: Portkey API Public Endpoint - url: SELF_HOSTED_GATEWAY_URL description: Self-Hosted Gateway URL post: tags: - Images summary: Create Image Edit operationId: createImageEdit requestBody: required: true content: multipart/form-data: schema: $ref: '#/components/schemas/CreateImageEditRequest' responses: '200': description: OK content: application/json: schema: $ref: '#/components/schemas/ImagesResponse' security: - Portkey-Key: [] Virtual-Key: [] - Portkey-Key: [] Provider-Auth: [] Provider-Name: [] - Portkey-Key: [] Config: [] - Portkey-Key: [] Provider-Auth: [] Provider-Name: [] Custom-Host: [] x-code-samples: - lang: curl label: Default source: | curl https://api.portkey.ai/v1/images/edits \ -H "x-portkey-api-key: $PORTKEY_API_KEY" \ -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \ -F image="@otter.png" \ -F mask="@mask.png" \ -F prompt="A cute baby sea otter wearing a beret" \ -F n=2 \ -F size="1024x1024" - lang: python label: Default source: | from portkey_ai import Portkey client = Portkey( api_key = "PORTKEY_API_KEY", virtual_key = "PROVIDER_VIRTUAL_KEY" ) client.images.edit( image=open("otter.png", "rb"), mask=open("mask.png", "rb"), prompt="A cute baby sea otter wearing a beret", n=2, size="1024x1024" ) - lang: javascript label: Default source: | import fs from "fs"; import Portkey from 'portkey-ai'; const client = new Portkey({ apiKey: 'PORTKEY_API_KEY', virtualKey: 'PROVIDER_VIRTUAL_KEY' }); async function main() { const image = await client.images.edit({ image: fs.createReadStream("otter.png"), mask: fs.createReadStream("mask.png"), prompt: "A cute baby sea otter wearing a beret", }); console.log(image.data); } main(); - lang: curl label: Self-Hosted source: | curl -X POST "SELF_HOSTED_GATEWAY_URL/images/edits" \ -H "Content-Type: application/json" \ -H "x-portkey-api-key: $PORTKEY_API_KEY" \ -H "x-portkey-virtual-key: $PORTKEY_PROVIDER_VIRTUAL_KEY" \ -d '{ "image": "@otter.png", "mask": "@mask.png", "prompt": "A cute baby sea otter wearing a beret", "n": 2, "size": "1024x1024" }' - lang: python label: Self-Hosted source: | from portkey_ai import Portkey client = Portkey( api_key="PORTKEY_API_KEY", virtual_key="PROVIDER_VIRTUAL_KEY", base_url="SELF_HOSTED_GATEWAY_URL" ) image = client.images.edit( image=open("otter.png", "rb"), mask=open("mask.png", "rb"), prompt="A cute baby sea otter wearing a beret", n=2, size="1024x1024" ) print(image.data) - lang: javascript label: Self-Hosted source: | import fs from "fs"; import Portkey from 'portkey-ai'; const portkey = new Portkey({ apiKey: 'PORTKEY_API_KEY', virtualKey: 'PROVIDER_VIRTUAL_KEY', baseURL: 'SELF_HOSTED_GATEWAY_URL' }); async function main() { const image = await portkey.images.edit({ image: fs.createReadStream("otter.png"), mask: fs.createReadStream("mask.png"), prompt: "A cute baby sea otter wearing a beret", }); console.log(image.data); } main(); components: schemas: CreateImageEditRequest: type: object properties: image: description: >- The image to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask. type: string format: binary prompt: description: >- A text description of the desired image(s). The maximum length is 1000 characters. type: string example: A cute baby sea otter wearing a beret mask: description: >- An additional image whose fully transparent areas (e.g. where alpha is zero) indicate where `image` should be edited. Must be a valid PNG file, less than 4MB, and have the same dimensions as `image`. type: string format: binary model: anyOf: - type: string - type: string enum: - dall-e-2 x-oaiTypeLabel: string default: dall-e-2 example: dall-e-2 nullable: true description: >- The model to use for image generation. Only `dall-e-2` is supported at this time. 'n': type: integer minimum: 1 maximum: 10 default: 1 example: 1 nullable: true description: The number of images to generate. Must be between 1 and 10. size: type: string enum: - 256x256 - 512x512 - 1024x1024 default: 1024x1024 example: 1024x1024 nullable: true description: >- The size of the generated images. Must be one of `256x256`, `512x512`, or `1024x1024`. response_format: type: string enum: - url - b64_json default: url example: url nullable: true description: >- The format in which the generated images are returned. Must be one of `url` or `b64_json`. URLs are only valid for 60 minutes after the image has been generated. user: type: string example: user-1234 description: > A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse. [Learn more](https://platform.openai.com/docs/guides/safety-best-practices/end-user-ids). required: - prompt - image ImagesResponse: properties: created: type: integer data: type: array items: $ref: '#/components/schemas/Image' required: - created - data Image: type: object description: >- Represents the url or the content of an image generated by the Portkey API. properties: b64_json: type: string description: >- The base64-encoded JSON of the generated image, if `response_format` is `b64_json`. url: type: string description: >- The URL of the generated image, if `response_format` is `url` (default). revised_prompt: type: string description: >- The prompt that was used to generate the image, if there was any revision to the prompt. x-code-samples: name: The image object example: | { "url": "...", "revised_prompt": "..." } securitySchemes: Portkey-Key: type: apiKey in: header name: x-portkey-api-key Virtual-Key: type: apiKey in: header name: x-portkey-virtual-key Provider-Auth: type: http scheme: bearer Provider-Name: type: apiKey in: header name: x-portkey-provider Config: type: apiKey in: header name: x-portkey-config Custom-Host: type: apiKey in: header name: x-portkey-custom-host ````