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Documentation Index

Fetch the complete documentation index at: https://docs.aihubmix.com/llms.txt

Use this file to discover all available pages before exploring further.

Available Model List

For Nano Banana series, consulte: https://docs.aihubmix.com/en/api/Gemini-Guides

OpenAI Models

  • gpt-image-1.5 - OpenAI’s latest image generation model, featuring improved instruction adherence and prompt execution capabilities.
  • gpt-image-1 - A multimodal language model that accepts text and image inputs, generating image outputs.
  • gpt-image-1-mini - An economical version of gpt-image-1.
  • dall-e-3 - Capable of creating realistic images and artworks based on natural language descriptions, supporting the creation of new images in specified dimensions based on prompts.

Imagen Models

  • imagen-4.0-ultra-generate-001
  • imagen-4.0-generate-001
  • imagen-4.0-fast-generate-001
  • imagen-4.0-fast-generate-preview-06-06
  • imagen-3.0-generate-002

Qwen Models

  • qwen-image - A foundational image generation model no Qwen series that has made significant progress in complex text rendering and precise image editing.
  • qwen-image-edit - Qwen image editing model.

Doubao Models

  • doubao-seedream-4-5 - ByteDance’s latest multimodal image model, integrating capabilities for text-to-image, image-to-image, and composite image outputs.
  • doubao-seedream-4-0 - ByteDance’s SOTA multimodal image creation model, supporting diverse functionalities como multi-image fusion creation, image editing, and composite image generation.

Flux Models

  • flux-2-flex - Designed for real-world creative production workflows, generating high-quality images while maintaining character and style consistency among multiple references.
  • flux-2-pro - An image generation and editing model developed by Black Forest Labs, supporting complex text reading and writing.
  • FLUX.1-Kontext-pro - A multimodal flow matching model developed by Black Forest Labs, supporting both text-to-image generation and image editing in context.

iRAG Models

  • irag-1.0 - Baidu’s self-developed image generation model capable of producing ultra-realistic images.
  • ernie-irag-edit - Baidu’s self-developed image editing model, supporting operations like erase, repaint, and variation based on images.

Ideogram Models

  • V3 - Ideogram AI’s image generation model, capable of quickly generating images.

API Interface

Request URL

POST https://aihubmix.com/v1/models/<model_path>/predictions
<model_path> is <provider/model_id>, por exemplo, <openai/gpt-image-1.5>, <qianfan/qwen-image>.

Headers da Requisição

Authorization: Bearer $AIHUBMIX_API_KEY
Content-Type: application/json

Parâmetros da Requisição

General Parameters

ParameterTypeRequiredDescription
promptstringSimPrompt words
sizestringNãoImage size, suporta 1K (not supported in Doubao-4-5 series), 2K, 4K, auto (default). Qwen series supports: 512*1024, 768*512, 768*1024, 1024*576, 576*1024, 1024*1024 (default)
imagestringNãoReference image path
nintegerNãoNumber of images to generate, suporta 1-10, default is 1
qualitystringNãoRendering quality, suporta low, medium, and high; higher quality takes longer time

OpenAI Model Parameters

ParameterTypeRequiredDescription
input_fidelitystringNãoFidelity, suporta high and low (default)
moderationstringNãoContent moderation strictness, suporta auto (default, standard filtering) and low (less filtering), not supported in image-to-image mode
output_formatstringNãoOutput image format, suporta png, jpeg (default) , webp

Flux Model Parameters

ParameterTypeRequiredDescription
safety_toleranceintegerNãoAudit leniency, higher values indicate more leniency. Range 0<=x<=5, default value is 2
aspect_ratiostringNãoDesired aspect ratio for the image, suporta 16:9 (default), 1:1, 4:3
seedintegerNãoRandom number seed
rawbooleanNãoWhether to enable raw mode for a more natural visual effect, default false

Qwen Model Parameters

ParameterTypeRequiredDescription
watermarkbooleanNãoWhether to add a watermark to the generated image, suporta true (default) and false
seedintegerNãoRandom number seed, range [0,2147483647]

Doubao Model Parameters

ParameterTypeRequiredDescription
sequential_image_generationstringNãoControl whether to disable composite image functionality
sequential_image_generation_optionsobjectNãoComposite image configuration, effective only when sequential_image_generation is auto. Currently suporta max_images, range [1, 15], default value is 15
watermarkbooleanNãoWhether to add a watermark to the generated image, suporta true (default) and false
seedintegerNãoRandom number seed, range [-1, 2147483647], default value is -1
response_formatstringNãoReturn format for the generated image, suporta url (link valid for 24 hours after image generation, please download promptly) or base64_json
The actual number of images that can be generated is influenced not only by max_images but also by the number of reference images provided. The number of input reference images + the final number of generated images ≤ 15.

Usage Examples

OpenAI

curl https://aihubmix.com/v1/models/openai/gpt-image-1.5/predictions \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer sk-***" \
    -d '{
  "input": {
    "prompt": "A deer drinking in the lake, Sakura petals falling, green and clean water, japanese temple, dappled sunlight, cinematic lighting, expansive view, peace",
    "size": "1024x1024", 
    "n": 1,
    "quality": "high",
    "moderation": "low",
    "background": "auto"
  }
}'

Google Imagen

curl https://aihubmix.com/v1/models/google/imagen-4.0-fast-generate-001/predictions \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer sk-***" \
    -d '{
  "input": {
    "prompt": "A deer drinking in the lake, Sakura petals falling, green and clean water, japanese temple, dappled sunlight, cinematic lighting, expansive view, peace",
    "numberOfImages": 1
  }
}'

Qwen

curl https://aihubmix.com/v1/models/qianfan/qwen-image/predictions \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer sk-***" \
  -d '{
    "input": {
      "prompt": "A beautiful sunset over a calm ocean",
      "refer_image": "",
      "n": 1,
      "size": "1024x1024",
      "watermark": false
    }
  }'

Doubao

curl https://aihubmix.com/v1/models/doubao/doubao-seedream-4-0/predictions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-***" \
  -d '{
    "input": {
      "prompt": "Interstellar, black hole, a vintage train bursting out of a black hole, vying for visual impact, cinematic blockbuster, apocalyptic feel, dynamic, contrasting colors, oc rendering, ray tracing, motion blur, depth of field, surrealism, deep blue, the scene is shaped by delicate rich color layers creating the subject and scene, realistic texture, the lighting effects of a dark background create an atmosphere, combining artistic fantasy, exaggerated wide-angle perspective, glare, reflection, extreme light and shadow, strong gravity, devouring",
      "size": "2K",
      "sequential_image_generation": "disabled",
      "stream": false,
      "response_format": "url",
      "watermark": true
    }
  }'

Flux

  • flux-2-flex and flux-2-pro are asynchronous endpoints, requiring a two-step request. This series is extremely fast, almost instantaneous.
  • FLUX.1-Kontext-pro uses a general interface, providing a one-step process.

FLUX One-Step Drawing

curl https://aihubmix.com/v1/images/generations \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer sk-***" \
    -d '{
  "model": "FLUX.1-Kontext-pro",
  "prompt": "a cat in the garden, cute cartoon",
  "safety_tolerance": 6
}' \
| jq -r '.data[0].b64_json' \
| base64 -D > "$HOME/Desktop/image_extract.png"

Flux Asynchronous Drawing

Passo 1: Send Drawing Request
curl https://aihubmix.com/v1/models/bfl/flux-kontext-max/predictions \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer sk-***" \
    -d '{
  "input": {
    "prompt": "A deer drinking in the lake, Sakura petals falling, green and clean water, japanese temple, dappled sunlight, cinematic lighting, expansive view, peace. reference style as the given image:",
    "aspect_ratio": "2:3",
    "safety_tolerance": 6
  }
}'
Output result example:
{
  "output": [
    {
      "taskId": "api.us1.***",
      "polling_url": "https://api.us1.bfl.ai/v1/get_result?id=f9821dbf-f134-41c2-aaa8-5405fb665c76"
    }
  ]
}
Passo 2: Get Gered Image Link
Get Image
curl https://api.aihubmix.com/v1/tasks/<taskId> \
    -H "Authorization: Bearer sk-***" \
    -X GET

Ideogram V3

  1. Versions below V3 (V_2, V_1, etc.) are old interfaces and are not supported.
  2. The returned links require a proxy network to access.
curl https://aihubmix.com/v1/models/ideogram/V3/predictions \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer sk-***" \
    -d '{
  "input": {
    "prompt": "A deer drinking in the lake, Sakura petals falling, green and clean water, japanese temple, dappled sunlight, cinematic lighting, expansive view, peace, in the style of Pixar 3D",
    "rendering_speed": "QUALITY",
    "aspect_ratio": "2x1"
  }
}'

iRAG

curl https://aihubmix.com/v1/models/qianfan/irag-1.0/predictions\
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer sk-***" \
  -d '{
    "input": {
      "prompt": "A beautiful sunset over a calm ocean",
      "refer_image": "",
      "n": 1,
      "size": "1024x1024",
      "guidance": 7.5,
      "watermark": false
    }
  }'

Última atualização: 2026-06-01