- Default module
- Large Language Model
- API Migration Guide
- Exclusive Feature
- Model Support
- OpenAI
- Chat（Talk）
- Responses（Talk）
- Chat（Streamed return.）
- Chat (gpt-4o Image Analysis)
- Chat (gpt-4o Structured Output)
- Chat (gpt-4o function call)
- Chat (gpt-4-plus image analysis)
- Chat (gpt-4-plus image generation)
- Chat（gpt-4o-image-generation modify image）
- Chat (gpts model)
- Chat (chatgpt-4o-latest)
- Chat (o1 Series Model)
- Chat (o3 Series Model)
- Chat（o4 Series）
- Chat（gpt-4o audio model）
- Responses（Deep-Research）
- Anthropic
- Gemini
- China AI Model
- Chat (Baidu ERNIE)
- Chat (Tongyi Qianwen)
- Chat (Tongyi Qianwen-VL)
- Chat（Tongyi Qianwen-OCR）
- Chat (Zhipu GLM-4)
- Chat (Zhipu GLM-4V)
- Chat (Baichuan AI)
- Chat (Moonshot AI)
- Chat (Moonshot AI-Vision)
- Chat (01.AI)
- Chat (01.AI-VL)
- Chat (DeepSeek)
- Chat (DeepSeek-VL2)
- Chat (ByteDance Doubao)
- Chat (ByteDance Doubao-Vision)
- Chat（ByteDance Doubao Image Generation）
- Chat (Stepfun)
- Chat (Stepfun Multimodal)
- Chat (iFLYTEK Spark)
- Chat (SenseTime)
- Chat（Minimax）
- Chat (Tencent Hunyuan)
- SiliconFlow
- PPIO
- SophNet
- Open Source Model
- Chat（LLaMA4）POST
- Chat（LLaMA3.3）POST
- Chat（LLaMA3.2 multimodal）POST
- Chat（LLaMA3.1）POST
- Chat（Mistral）POST
- Chat（Pixtral-Large-2411multimodal）POST
- Chat（Gemma-7B、Gemma-3-27b-it）POST
- Chat（Gemma2-9B）POST
- Chat（Command R+） POST
- Chat（Qwen2）POST
- Chat（Qwen2.5）POST
- Chat（Qwen2.5-VL）POST
- Chat（Qwen3）POST
- Chat（Llama-3.1-nemotron）POST
- Chat（QwQ-32B、QwQ-Plus、QwQ-32B-Preview）POST
- Chat（LongCat-Flash-Chat）POST
- Expert Model
- Other Models
- Image Generation
- Unified interface
- GPT-Image-1
- DALL.E
- Stability.ai
- Text-to-image (Image Generation-V1)
- Generate (Image Generation-SD2)
- Generate (Image Generation-SD3-Ultra)
- Generate (Image Generation-SD3)
- Generate（Image Generation-SD3.5-Large）
- Generate（Image Generation-SD3.5-Medium）
- Generate（Image to Image-SD3）
- Generate（Image to Image-SD3.5-Large）
- Generate（Image to Image-SD3.5-Medium）
- Midjourney
- Midjourney-Relax
- Midjourney-Turbo
- 302.AI
- SDXL
- SDXL-Lora
- SDXL-Lightning
- SDXL-Lightning-V2
- SDXL-Lightning-V3
- SD3
- SD3-V2
- Aura-Flow
- Kolors
- Kolors（Reference Image Generation-KLING）
- QRCode Generation
- Lora
- Lora（Get task result）
- SD-3.5-Large
- SD-3.5-Large-Turbo
- SD-3.5-Medium
- Lumina-Image-V2(Image generated)
- Playground-v25（Image generated）
- Omnigen-V1（Image generated）
- Qwen-Image（image generation）
- Qwen-Image-Lora (LoRA image generation)
- Qwen-Image-Lora-Trainer (LoRA training)
- Qwen-Image-Lora-Trainer (asynchronous result retrieval)
- Glif
- Flux
- Official API
- Flux-Ultra（v1.1）
- Flux-Pro
- Flux-Pro（v1.1）
- Flux-Dev
- Flux-Schnell
- Flux-Realism
- Flux-Lora
- Flux-General
- Flux-General-Inpainting（Advanced Customization）
- Flux-Lora-Training（Training Lora）
- Flux-Lora-Training（Fetch Results Asynchronously）
- Flux-1-Krea（Image Generation）
- Flux-1-Krea-Redux（Image-to-Image Generation）
- Ideogram
- Recraft
- Luma
- Doubao
- Google
- gemini-2.5-flash-image-preview (Original Format - Text-to-Image)
- gemini-2.5-flash-image-preview (Original Format - Image Editing)
- gemini-2.5-flash-image-preview (Pay-per-Use - Text-to-Image)
- gemini-2.5-flash-image-preview-edit (Pay-per-Use - Image Editing)
- gemini-2.5-flash-image-preview (asynchronous per-request billing - text-to-image)
- gemini-2.5-flash-image-preview-edit (asynchronous per-request billing - image editing)
- gemini-2.5-flash-image-preview (asynchronous result retrieval)
- Imagen-4-Preview （Image generated）
- Imagen-3 (Image generated)
- Imagen-3-Fast (Image generated)
- Imagen-4-Preview-Fast (Image Generation)
- Imagen-4-Preview-Ultra (Image Generation)
- Minimax
- ZHIPU
- Baidu
- Hidream
- Bagel
- SiliconFlow
- Higgsfield
- Kling
- Tongyi Wanxiang
- Image Processing
- 302.AI
- Upscale
- Upscale-V2
- Upscale-V3
- Upscale-V4
- Super-Upscale
- Super-Upscale-V2
- Face-upscale
- Colorize
- Colorize-V2
- Removebg
- Removebg-V2
- Removebg-V3
- Inpaint
- Erase
- Face-to-many
- Llava
- Relight
- Relight-background
- Relight-V2
- Face-swap-V2
- Fetch
- HtmltoPng
- SvgToPng
- image-translate
- image-translate-query
- image-translate-redo
- Flux-selfie
- Trellis（Image to 3D model）
- Pose-Transfer（Human Pose Transformation）
- Pose-Transfer（Human Pose Transformation Result）
- Virtual-Tryon
- Virtual-Tryon（Fetch Result）
- Virtual-Tryon （Virtual Clothing V2）
- Denoise（AI Denoising）
- Deblur（AI Deblurring）
- SAM（AI-generated mask image）
- Retouch（Portrait beautification）
- Moondream2 (Image Prompt Generation)
- Image_Merge
- Qwen-Image-Edit
- 302.AI-ComfyUI
- Create Outfit Change Task
- Create Outfit Change Task (Upload Mask)
- Query Outfit Change Task Status
- Create Face Swap Task
- Query Face Swap Task Status
- Create a Task to Replace Any Item
- Create Object Replacement Task (Upload Mask)
- Check the Status of Any Object Replacement Task
- Create a Task to Transform Cartoon Characters into Real People
- Query the status of the task to turn a manga character into a real person
- Create Style Transfer Task
- Query the status of the style transfer task
- Create Image Removal Task
- Query Image Removal Task Status
- Create Video Face Swap Task
- Query Video Face Swap Task Status
- 创建视频换脸任务（V2）
- 查询视频换脸任务状态（V2）
- Vectorizer
- Stability.ai
- Glif
- Clipdrop
- Recraft
- BRIA
- Flux
- Official API
- Flux-V1.1-Ultra-Redux（Image-to-image generation-Ultra）
- Flux-V1.1-Pro-Redux（Image-to-image generation-Pro）
- Flux-Dev-Redux（Image-to-image generation-Dev）
- Flux-Schnell-Redux（Image-to-image generation-Schnell）
- Flux-V1-Pro-Canny（Object consistency）
- Flux-V1-Pro-Depth（Depth consistency）
- Flux-V1-Pro-Fill（Partial repainting）
- Flux-Kontext-Pro（Image Edit）
- Flux-Kontext-Max（Image Edit）
- Flux-Kontext-Dev（Image Edit）
- Hyper3D
- Tripo3D
- FASHN
- Ideogram
- Doubao
- Kling
- StepFun
- Bagel
- Gongji Computing
- Image2Reality
- Hunyuan3D
- Hidream
- Tongyi Wanxiang
- 302.AI
- Video Generation
- Unified Interface
- 302.AI
- Stable Diffusion
- Luma AI
- Runway
- Kling
- 302 format
- Text to Video
- Txt2Video（Text to Video 1.0 Rapid-5s）
- Txt2Video_HQ（Text to Video 1.5 HQ-5s）
- Txt2Video_HQ（Text to Video 1.5 HQ-10s）
- Txt2Video（Text to Video 1.6 Standard-5s）
- Txt2Video（Text to Video 1.6 Standard-10s）
- Txt2Video（Text to Video 1.6 HQ-5s）
- Txt2Video（Text to Video 1.6 HQ-10s）
- Txt2Video（Text-to-Video 2.0 – HD – 5s）
- Txt2Video（Text-to-Video 2.1 – Master Edition – 5S）
- Txt2Video（Text-to-Video 2.1 – Master Edition – 10S）
- Image to Video
- Image2Video（Image to Video 1.0 Rapid-5s）
- Image2Video（Image to Video 1.0 Rapid-10s）
- Image2Video（Image to Video 1.5 Rapid-5s）
- Image2Video（Image to Video 1.5 Rapid-10s）
- Image2Video_HQ（Image to Video 1.5 HQ-5s）
- Image2Video_HQ（Image to Video 1.5 HQ-10s）
- Image2Video（Image to Video 1.6 Standard-5s）
- Image2Video（Image to Video 1.6 Standard-10s）
- Image2Video（Multiple Images Reference）
- Image2Video（Image to Video 1.6 HQ-5s）
- Image2Video（Image to Video 1.6 HQ-10s）
- Image2Video（Image-to-Video 2.0 – HD – 5s）
- Image2Video（Image-to-Video 2.0 – HD – 10s）
- Image2Video（Image video 2.1-5 seconds）
- Image2Video（Image video 2.1-10 seconds）
- Image2Video（Image Video 2.1-HD-10 seconds）
- Image2Video（Image Video 2.1-HD-5 seconds）
- Image2Video（Image to Video 2.1–Master –5seconds）
- Image2Video（Image to Video 2.1–Master–10seconds）
- Extend_Video
- Fetch
- Text to Video
- Official format
- Text2video (Text-to-Video Official API)
- Text2video (Text-to-Video Get Task Result)
- Image2video (Image-to-Video Official API)
- Image2video (Image-to-Video Get Task Result)
- MultiImage2Video（Multiple Images Reference）
- MultiImage2Video（Get Multi-Image Video Task Result）
- Effects（Video Effects Official API）
- Effects（Get Video Effects Task Result）
- 302 format
- CogVideoX
- Minimax
- Pika
- 1.5 pikaffects（Image-to-Video Generation）
- Turbo Generate（Text-to-Video Generation）
- Turbo Generate（Text-to-Video Generation）
- 2.1 Generate（Text-to-Video Generation）
- 2.1 Generate（Image-to-Video Generation）
- 2.2 Generate（Text-to-Video Generation）
- 2.2 Generate（Image-to-Video Generation）
- 2.2 Pikascenes（Generate scene videos）
- Fetch（Result）
- PixVerse
- Genmo
- Hedra
- Haiper
- Sync.
- Lightricks
- Hunyuan
- Vidu
- Vidu（Text-to-Video）
- Vidu（Image to Video）
- Vidu（Generate video from the first and last frames）
- Vidu（Reference-based video generation）
- Vidu（Generate scene video）
- Vidu（Smart Ultra HD）
- Fetch（Retrieve Task Results）
- Vidu V2（Text-to-Video Generation）
- Vidu V2（Image-to-Video）
- Vidu V2（Start-and-End Frame Video Generation）
- Vidu V2（Subject-Driven Video Generation）
- Vidu（Scene Video Generation V2）
- Vidu V2（AI Ultra HD – Premium）
- Fetch V2（Retrieve Task Result）
- Tongyi Wanxiang
- wan2.2-a14b-t2v (Text to Video)
- wan2.2-a14b-t2v (Get Task Result)
- wan2.2-a14b-i2v (Image to Video)
- wan2.2-a14b-i2v (Get Task Result)
- wan2.2-5b-t2v (Text to Video)
- wan2.2-5b-t2v (Get Task Result)
- wan2.2-5b-i2v (Image to Video)
- wan2.2-5b-i2v (Get Task Result)
- T2V（Text-to-Video）
- Tasks（Fetch Task Result）
- wan-t2v（Text-to-video open source version）
- wan-t2v（Fetch Task Result）
- wan-i2v（Image-to-video open source version）
- wan-i2v（Fetch Task Result）
- wan-vace（Video Edit）
- wan-vace（Fetch Task Result）
- T2V (Text-to-Video Alibaba Cloud)
- I2V (Image-to-Video Alibaba Cloud)
- wan2.2-s2v (Digital Human Generation)
- Tasks (Get Task Results)
- Jimeng
- SiliconFlow
- Google
- Veo3-Fast（Text-to-video）
- Veo3-Fast（Get task result）
- Veo3-Fast-Frames（Image and Text to Video Generation）
- Veo3-Fast-Frames (Get task result)
- Veo3-Pro（Text-to-video）
- Veo3-Pro（Get task result）
- Veo3-Pro-Frames（Image and Text to Video Generation）
- Veo3-Pro-Frames（Veo3-Pro-Frames）
- Veo2（Text-to-video）
- Veo2-i2v（Image to video generation）
- Veo2（Get task results）
- Veo3 (Text-to-video)
- Veo3 (Get task result)
- Veo3-V2（V2 API Format）
- Veo3-V2（V2 API Format）
- Kunlun Tech
- Higgsfield
- Chanjing
- Midjourney
- Topview
- Audio/Video Processing
- Unified interface
- 302.AI
- Stable-Audio（instrumental generation）
- Transcript (Audio/Video to Text)
- Transcriptions（Speech to Text）
- Alignments（Subtitle Timing）
- WhisperX
- F5-TTS（Text to Speech）
- F5-TTS （Asynchronous Text-to-Speech）
- F5-TTS （Asynchronously Retrieve Results）
- mmaudio（Text-to-Speech）
- mmaudio（AI Video Voiceover）
- mmaudio （Asynchronous Result Retrieval）
- Diffrhythm（Song Generation）
- Video-Understanding (Video understanding)
- Video-Understanding (Asynchronously get result)
- OpenAI
- Azure
- Suno
- Doubao
- Fish Audio
- Minimax
- Dubbingx
- Udio
- Elevenlabs
- Mureka
- SiliconFlow
- Chanjing
- Kling
- Tongyi Wanxiang
- Information Processing
- Unified Search API
- 302.AI
- Admin Dashboard
- Information search
- Xiaohongshu_Search
- Xiaohongshu_Search (Xiaohongshu Notes Search V2)
- Xiaohongshu_Search (Xiaohongshu Notes Search V3)
- Xiaohongshu_Note (Xiaohongshu Note Retrieval)
- Xiaohongshu_Note (Xiaohongshu Note Retrieval V2)
- Xiaohongshu_Note (Xiaohongshu Note Retrieval V3)
- Get_Home_Recommend
- Tiktok_Search
- Douyin_Search
- Twitter_Search
- Twitter_Post（X_Post）
- Twitter_User（X_User）
- Weibo_Post
- Search_Video
- Youtube_Info
- Youtube_Subtitles（Youtube Obtain Subtitles）
- Bilibili_Info（Bilibili Obtain Video Information）
- MP_Article_List（Get the list of WeChat official account articles）
- MP_Article（Retrieve WeChat Official Account articles）
- Zhihu_AI_Search (Zhihu AI Search)
- Zhihu_AI_Search (Retrieve Zhihu AI Search Results)
- Zhihu_Hot_List (Zhihu Hot List / Trending Topics)
- Video_Data (Retrieve Video Data)
- File processing
- Code execution
- Remote Browser
- Paper2Code
- Paper2Poster
- LLMxMapReduce
- LangExtract
- Dots.OCR
- MiniCPM
- Tavily
- SerpApi
- Search1API
- Exa
- Bocha AI
- Doc2x
- Glif
- Jina
- DeepL
- RSSHub
- Firefly card
- Youdao
- Mistral
- Firecrawl
- MetaSota Search
- MinerU
- Zhipu Agent
- Unifuncs
- RAG-related
- Tools API
- AI Video Creation Hub
- AI Paper Writing
- AI Podcast Production
- AI Writing Assistant
- AI Video Real-Time Translation
- AI Document Editor
- Web Data Extraction Tool
- AI Prompt Expert
- AI 3D Modeling
- AI Search Master 3.0
- AI Vector Graphics Generation
- Al Answer Machine
- AI PPT Generator
- Generate PPT interface with one click
- File parsing
- Generate an outline
- Generate outline content
- Get template options
- Generate PPT interface (synchronous interface)
- Load PPT data
- Generate PPT interface (asynchronous interface)
- Asynchronous query generates PPT status
- Download PPT
- Add/update custom PPT templates
- Pagination query PPT template
- AI Academic Paper Search
- One-Click Website Deployment
- AI Avatar Maker
- AI Card Generation
- AI Image Creative Station API
- nable asynchronous request example (It is recommended to use asynchronous requests to generate images. Image generation models take a long time, and using asynchronous mode can help reduce request timeout issues.)
- Usage Example
- Basic Text-to-Image (Optional Prompt Optimization)
- Style Modification
- English Word Flashcards
- Visual Recipe
- Physical Destruction Effect Card
- Product Model Image
- Passport Stamp Generator
- Themed Keycap Scene Generation
- Low Polygon
- Typography
- Sculpture Generation
- Isometric Miniature Scene Generation
- Unfolded Ancient Book Miniature Scene Generation
- City Isometric View Generation
- Blister Tablet Food Generation
- Chibi-style 3D character creation
- 3D Relief Papercut Style Generation
- Change Character Age
- Movable Doll Generation
- 3D avatar pose generation
- Clay Style Generation
- 3D stereoscopic model creation
- Character Dual Exposure
- Hand-drawn Style Infographic Card
- Ghibli
- LEGO Collection
- CrystalBall
- Microscopic World
- Sticker Design
- Journal Notes
- Cloud Art
- Miniature 3D building
- Fictional Tweet Screenshot Prompt Optimization
- Cute Enamel Pin Image
- Ultra-Realistic Figurine Image
- Brand Pill Chart
- Original Product Image
- AlphabetBox
- Plastic Garbage Bag
- 3D scroll miniature scene
- Silhouette Art
- Colorful Vector Art Poster
- Retro Promotional Poster
- Fashion Magazine Cover
- Mini Tilt-Shift Landscape
- Chibi-style keychain
- 3D miniature shop
- Nail Painting
- Pin on T-shirt
- LEGO City Attractions
- Word and Graphic Fusion
- 3D chromed badge
- Animal Landmark Selfie
- Custom Anime Figure
- Frosted Glass Silhouette
- Rusty Iron Plate
- FlowInk
- Neon Graffiti
- Claw Machine
- Creative Minimalist Ad
- Glass Shard
- Creative Drawstring Bag
- Floral Sculpture
- Succulent Planter
- Retro Sci-Fi Book Cover
- Gold Coin
- Emotion Pastry
- Fun Balloon
- MonsterLetter
- City in Toy Box
- 3D Doll
- Clothing Flat Lay
- Anime to Real Person
- Get Model List
- Generate Creative Images
- Get Image Generation Result Asynchronously
- AI Digital Human
- Help Center
Chat（LLaMA3.2 multimodal）
POST
/chat/completions
llama3.2-90b
llama3.2-11b
Request
Header Params
Body Params application/json
Example
{
"model": "llama3.2-90b",
"messages": [{"role":"user","content":[{"type":"text","text":"这是什么"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}]
}Request Code Samples
Shell
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Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://api.302.ai/v1/chat/completions' \
--header 'Accept: application/json' \
--header 'Authorization: Bearer sk-jls4AaVBGoe1GwZD64qZA1qyKTN1MPHa4NmvH1cT68z7K1Zz' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "llama3.2-90b",
"messages": [{"role":"user","content":[{"type":"text","text":"这是什么"},{"type":"image_url","image_url":{"url":"data:image/png;base64,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"}}]}]
}'Responses
🟢200OK
application/json
Body
Example
{
"id": "chatcmpl-123",
"object": "chat.completion",
"created": 1677652288,
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": "\n\nHello there, how may I assist you today?"
},
"finish_reason": "stop"
}
],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 12,
"total_tokens": 21
}
}Modified at 2025-03-19 05:52:14