> ## Documentation Index > Fetch the complete documentation index at: https://docs.aiid.edu.kg/llms.txt > Use this file to discover all available pages before exploring further. # Generate images (compatible with OpenAI Dall-E) > OpenAI Dall-E-style image generation API. - `POST /v1/images/generations`: Create an image generation task Standard authentication headers: - `Content-Type: application/json` - `model: string`: Required, public model name - `prompt: string`: Recommended, image generation prompt - `n: number`: Optional, number of images to generate - `size: string`: Optional, size or resolution specification - `quality: string`: Optional, quality level - `response_format: string`: Optional, response format Common compatible extension parameters: - `image` - `image_url` - `image_urls` - `image_list` - `subject_image_list` - `scene_image` - `style_image` - `negative_prompt` - `aspect_ratio` - `resolution` - `callback_url` - `external_task_id` Kling Dedicated extension parameters: - `model_name` - `element_list` - `result_type` - `series_amount` - `human_image` - `cloth_image` - `up_expansion_ratio` - `down_expansion_ratio` - `left_expansion_ratio` - `right_expansion_ratio` ### 3.1 Nano Banana Series Public model: - `nano-banana` - `nano-banana-pro` - `nano-banana-pro-2k` - `nano-banana-pro-4k` - `nano-banana-2` - `nano-banana-2-2k` - `nano-banana-2-4k` Capabilities: - `nano-banana`: Basic text-to-image, also compatible with image editing - `nano-banana-pro*`: Higher-quality version - `nano-banana-2*`: Newer model family - `*-2k` / `*-4k`: High-resolution variants Common parameters: - Text-to-image: `model + prompt` - Image editing: `model + prompt + image`, also compatible with `image_urls` - Common extensions: `n` `size` `quality` `response_format` Example: ```json { "model": "nano-banana", "prompt": "a cute cat running in cloud", "n": 1, "size": "1024x1792" } ``` ```json { "model": "nano-banana-pro", "prompt": "把主体改成赛博朋克夜景", "image": "https://example.com/input.png", "n": 1 } ``` ### 3.2 Seedream Series Public model: - `doubao-seedream-3-0-t2i-250415` - `doubao-seedream-4-0-250828` - `doubao-seedream-4-5-251128` - `doubao-seedream-5-0-260128` Capabilities: - Use the text-to-image call uniformly - It is recommended to pass the standard parameter first: `prompt + model + size/aspect_ratio` Common parameters: - `model + prompt` - Optional: `size` `aspect_ratio` `n` ### 3.3 Kling Standard Image Main Model Public base model: - `kling-image` Required: - `model` - `model_name` Supported `model_name`: - `kling-v1` - `kling-v1-5` - `kling-v2` - `kling-v2-new` - `kling-v2-1` - `kling-v3` Capabilities: - Text-to-image: `model + model_name + prompt` - Image-to-image: add `image` on top of text-to-image - Multi-image generation: pass `subject_image_list`, or pass multiple `image_urls/images` - Outpainting: pass `image` and the outpainting ratio parameter Common parameters: - `image` - `subject_image_list` - `scene_image` - `style_image` - `aspect_ratio` - `resolution` - `up_expansion_ratio` - `down_expansion_ratio` - `left_expansion_ratio` - `right_expansion_ratio` Example: ```json { "model": "kling-image", "model_name": "kling-v3", "prompt": "海边日落，电影感人像", "aspect_ratio": "16:9", "n": 1 } ``` ### 3.4 Kling Omni Image Main Model Public base model: - `kling-omni-image` Required: - `model` - `model_name` Supported `model_name`: - `kling-image-o1` - `kling-v3-omni` Common parameters: - `image_list` - `element_list` - `resolution` - `aspect_ratio` - `result_type` - `series_amount` Example: ```json { "model": "kling-omni-image", "model_name": "kling-v3-omni", "prompt": "生成一张海边跳舞的图片", "element_list": [ { "element_id": 835266081714884677 } ] } ``` ### 3.5 Kling Virtual Try-On Model Public model: - `kolors-virtual-try-on-v1` - `kolors-virtual-try-on-v1-5` Minimum input parameters: - `model + human_image + cloth_image` Description: - These two models are already complete primary models themselves, so there is no need to pass `model_name` again. Example: ```json { "model": "kolors-virtual-try-on-v1", "human_image": "https://example.com/human.jpg", "cloth_image": "https://example.com/cloth.jpg" } ``` ## OpenAPI ````yaml api-reference/en/openapi.json POST /v1/images/generations openapi: 3.0.0 info: title: Overseas Expansion Camp API Reference Documentation version: 1.0.0 description: Public AI Gateway API Reference servers: - url: https://api.aiid.edu.kg security: - BearerAuth: [] tags: - name: OpenAI format (Chat) - name: OpenAI Format (Responses) - name: Gemini Format for Image Generation - name: Image generationOpenAI DALL-E format - name: List models - name: Video generationHappyHorse and Wan - name: Video generation Kling format - name: Video generation Omni and Veo formats - name: Video generation Seedance - name: Video generation Sora compatible formats - name: Video generation Vidu - name: Music generation task format paths: /v1/images/generations: post: tags: - Image generationOpenAI DALL-E format summary: Generate images (compatible with OpenAI Dall-E) description: >- OpenAI Dall-E-style image generation API. - `POST /v1/images/generations`: Create an image generation task Standard authentication headers: - `Content-Type: application/json` - `model: string`: Required, public model name - `prompt: string`: Recommended, image generation prompt - `n: number`: Optional, number of images to generate - `size: string`: Optional, size or resolution specification - `quality: string`: Optional, quality level - `response_format: string`: Optional, response format Common compatible extension parameters: - `image` - `image_url` - `image_urls` - `image_list` - `subject_image_list` - `scene_image` - `style_image` - `negative_prompt` - `aspect_ratio` - `resolution` - `callback_url` - `external_task_id` Kling Dedicated extension parameters: - `model_name` - `element_list` - `result_type` - `series_amount` - `human_image` - `cloth_image` - `up_expansion_ratio` - `down_expansion_ratio` - `left_expansion_ratio` - `right_expansion_ratio` ### 3.1 Nano Banana Series Public model: - `nano-banana` - `nano-banana-pro` - `nano-banana-pro-2k` - `nano-banana-pro-4k` - `nano-banana-2` - `nano-banana-2-2k` - `nano-banana-2-4k` Capabilities: - `nano-banana`: Basic text-to-image, also compatible with image editing - `nano-banana-pro*`: Higher-quality version - `nano-banana-2*`: Newer model family - `*-2k` / `*-4k`: High-resolution variants Common parameters: - Text-to-image: `model + prompt` - Image editing: `model + prompt + image`, also compatible with `image_urls` - Common extensions: `n` `size` `quality` `response_format` Example: ```json { "model": "nano-banana", "prompt": "a cute cat running in cloud", "n": 1, "size": "1024x1792" } ``` ```json { "model": "nano-banana-pro", "prompt": "把主体改成赛博朋克夜景", "image": "https://example.com/input.png", "n": 1 } ``` ### 3.2 Seedream Series Public model: - `doubao-seedream-3-0-t2i-250415` - `doubao-seedream-4-0-250828` - `doubao-seedream-4-5-251128` - `doubao-seedream-5-0-260128` Capabilities: - Use the text-to-image call uniformly - It is recommended to pass the standard parameter first: `prompt + model + size/aspect_ratio` Common parameters: - `model + prompt` - Optional: `size` `aspect_ratio` `n` ### 3.3 Kling Standard Image Main Model Public base model: - `kling-image` Required: - `model` - `model_name` Supported `model_name`: - `kling-v1` - `kling-v1-5` - `kling-v2` - `kling-v2-new` - `kling-v2-1` - `kling-v3` Capabilities: - Text-to-image: `model + model_name + prompt` - Image-to-image: add `image` on top of text-to-image - Multi-image generation: pass `subject_image_list`, or pass multiple `image_urls/images` - Outpainting: pass `image` and the outpainting ratio parameter Common parameters: - `image` - `subject_image_list` - `scene_image` - `style_image` - `aspect_ratio` - `resolution` - `up_expansion_ratio` - `down_expansion_ratio` - `left_expansion_ratio` - `right_expansion_ratio` Example: ```json { "model": "kling-image", "model_name": "kling-v3", "prompt": "海边日落，电影感人像", "aspect_ratio": "16:9", "n": 1 } ``` ### 3.4 Kling Omni Image Main Model Public base model: - `kling-omni-image` Required: - `model` - `model_name` Supported `model_name`: - `kling-image-o1` - `kling-v3-omni` Common parameters: - `image_list` - `element_list` - `resolution` - `aspect_ratio` - `result_type` - `series_amount` Example: ```json { "model": "kling-omni-image", "model_name": "kling-v3-omni", "prompt": "生成一张海边跳舞的图片", "element_list": [ { "element_id": 835266081714884677 } ] } ``` ### 3.5 Kling Virtual Try-On Model Public model: - `kolors-virtual-try-on-v1` - `kolors-virtual-try-on-v1-5` Minimum input parameters: - `model + human_image + cloth_image` Description: - These two models are already complete primary models themselves, so there is no need to pass `model_name` again. Example: ```json { "model": "kolors-virtual-try-on-v1", "human_image": "https://example.com/human.jpg", "cloth_image": "https://example.com/cloth.jpg" } ``` operationId: createImageGeneration parameters: [] requestBody: required: true content: application/json: schema: type: object properties: model: type: string description: Public image model name. example: dall-e-3 enum: - nano-banana - doubao-seedream-3-0-t2i-250415 - kling-image - kling-omni-image - kolors-virtual-try-on-v1 - kolors-virtual-try-on-v1-5 prompt: type: string description: >- Image generation description. This can be omitted for the virtual try-on model. 'n': type: integer description: Number of images to generate. default: 1 size: type: string description: Size or resolution representation. enum: - 1024x1024 - 1024x1792 - 1792x1024 quality: type: string description: Quality level. enum: - standard - hd style: type: string description: Style enum: - vivid - natural response_format: type: string description: Response format. enum: - url - b64_json user: type: string description: User ID required: - model - prompt examples: nano_banana_text2img: summary: Nano Banana Text-to-image value: model: nano-banana prompt: a cute cat running in cloud 'n': 1 size: 1024x1792 seedream_text2img: summary: Seedream Text-to-Image value: model: doubao-seedream-3-0-t2i-250415 prompt: 一张电影感海边日落人像 size: 1536x1024 'n': 1 kling_text2img: summary: Kling Text-to-Image value: model: kling-image model_name: kling-v3 prompt: 海边日落，电影感人像 aspect_ratio: '16:9' 'n': 1 kling_img2img: summary: Kling Image-to-Image value: model: kling-image model_name: kling-v2-1 prompt: 改成赛博朋克夜景风格 image: https://example.com/input.png 'n': 1 kling_omni_image: summary: Kling Omni Image value: model: kling-omni-image model_name: kling-v3-omni prompt: 生成一张海边跳舞的图片 element_list: - element_id: 835266081714884700 kling_virtual_try_on: summary: Kling Virtual Try-On value: model: kolors-virtual-try-on-v1 human_image: https://example.com/human.jpg cloth_image: https://example.com/cloth.jpg responses: '200': description: Image generated successfully content: application/json: schema: $ref: '#/components/schemas/ImageResponse' headers: {} deprecated: false security: - BearerAuth: [] components: schemas: ImageResponse: type: object properties: created: type: integer data: type: array items: type: object properties: url: type: string b64_json: type: string revised_prompt: type: string securitySchemes: BearerAuth: type: http scheme: bearer description: |- Use Bearer Token authentication. Format: `Authorization: Bearer sk-xxxxxx` ````