bytedance/seedream-v4/edit

bild-till-bild

Seedream v4 Edit API by ByteDance

bytedance/seedream-v4/edit

Edit

Open and Advanced Large-Scale Image Generative Models.

Inmatning

Laddar parameterkonfiguration...

Utmatning

Vilande

Dina genererade bilder visas här

Konfigurera parametrar och klicka på Kör för att börja generera

Varje körning kostar $0.027. För $10 kan du köra cirka 370 gånger.

Du kan fortsätta med:

Bild till video Bild till bild

Parametrar

Kodexempel
import requests
import time

# Step 1: Start image generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "bytedance/seedream-v4/edit",
    "prompt": "A beautiful landscape with mountains and lake",
    "width": 512,
    "height": 512,
    "steps": 20,
    "guidance_scale": 7.5,
}

generate_response = requests.post(generate_url, headers=headers, json=data)
generate_result = generate_response.json()
prediction_id = generate_result["data"]["id"]

# Step 2: Poll for result
poll_url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"

def check_status():
    while True:
        response = requests.get(poll_url, headers={"Authorization": "Bearer $ATLASCLOUD_API_KEY"})
        result = response.json()

        if result["data"]["status"] == "completed":
            print("Generated image:", result["data"]["outputs"][0])
            return result["data"]["outputs"][0]
        elif result["data"]["status"] == "failed":
            raise Exception(result["data"]["error"] or "Generation failed")
        else:
            # Still processing, wait 2 seconds
            time.sleep(2)

image_url = check_status()

Installera

Installera det nödvändiga paketet för ditt programmeringsspråk.

pip install requests

Autentisering

Alla API-förfrågningar kräver autentisering via en API key. Du kan hämta din API key från Atlas Cloud-instrumentpanelen.

export ATLASCLOUD_API_KEY="your-api-key-here"

HTTP-huvuden

import os

API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {API_KEY}"
}

Håll din API key säker

Exponera aldrig din API key i klientkod eller publika arkiv. Använd miljövariabler eller en backend-proxy istället.

Skicka en förfrågan

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
    "model": "your-model",
    "prompt": "A beautiful landscape"
}

response = requests.post(url, headers=headers, json=data)
print(response.json())

Skicka en förfrågan

Skicka en asynkron genereringsförfrågan. API:et returnerar ett prediction ID som du kan använda för att kontrollera statusen och hämta resultatet.

POST/api/v1/model/generateImage

Förfrågningsinnehåll

import requests

url = "https://api.atlascloud.ai/api/v1/model/generateImage"
headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer $ATLASCLOUD_API_KEY"
}

data = {
    "model": "bytedance/seedream-v4/edit",
    "prompt": "A beautiful landscape with mountains and lake"
}

response = requests.post(url, headers=headers, json=data)
result = response.json()

print(f"Prediction ID: {result['data']['id']}")
print(f"Status: {result['data']['status']}")

Svar

{
  "code": 200,
  "data": {
    "id": "pred_abc123",
    "status": "processing",
    "model": "model-name",
    "created_at": "2025-01-01T00:00:00Z"
  }
}

Kontrollera status

Polla prediction-endpointen för att kontrollera den aktuella statusen för din förfrågan.

GET/api/v1/model/prediction/{prediction_id}

Polling-exempel

import requests
import time

prediction_id = "pred_abc123"
url = f"https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

while True:
    response = requests.get(url, headers=headers)
    result = response.json()
    status = result["data"]["status"]
    print(f"Status: {status}")

    if status in ["completed", "succeeded"]:
        output_url = result["data"]["outputs"][0]
        print(f"Output URL: {output_url}")
        break
    elif status == "failed":
        print(f"Error: {result['data'].get('error', 'Unknown')}")
        break

    time.sleep(3)

Statusvärden

processingFörfrågan bearbetas fortfarande.

completedGenereringen är klar. Utdata är tillgängliga.

succeededGenereringen lyckades. Utdata är tillgängliga.

failedGenereringen misslyckades. Kontrollera error-fältet.

Slutfört svar

{
  "data": {
    "id": "pred_abc123",
    "status": "completed",
    "outputs": [
      "https://storage.atlascloud.ai/outputs/result.png"
    ],
    "metrics": {
      "predict_time": 8.3
    },
    "created_at": "2025-01-01T00:00:00Z",
    "completed_at": "2025-01-01T00:00:10Z"
  }
}

Ladda upp filer

Ladda upp filer till Atlas Cloud-lagring och få en URL som du kan använda i dina API-förfrågningar. Använd multipart/form-data för uppladdning.

POST/api/v1/model/uploadMedia

Uppladdningsexempel

import requests

url = "https://api.atlascloud.ai/api/v1/model/uploadMedia"
headers = { "Authorization": "Bearer $ATLASCLOUD_API_KEY" }

with open("image.png", "rb") as f:
    files = {"file": ("image.png", f, "image/png")}
    response = requests.post(url, headers=headers, files=files)

result = response.json()
download_url = result["data"]["download_url"]
print(f"File URL: {download_url}")

Svar

{
  "data": {
    "download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
    "file_name": "image.png",
    "content_type": "image/png",
    "size": 1024000
  }
}

Input Schema

Följande parametrar accepteras i förfrågningsinnehållet.

Totalt: 0Obligatorisk: 0Valfri: 0

Inga parametrar tillgängliga.

Exempel på förfrågningsinnehåll

{
  "model": "bytedance/seedream-v4/edit"
}

Output Schema

API:et returnerar ett prediction-svar med de genererade utdata-URL:erna.

idstringrequired

Unique identifier for the prediction.

statusstringrequired

Current status of the prediction.

processingcompletedsucceededfailed

modelstringrequired

The model used for generation.

outputsarray[string]

Array of output URLs. Available when status is "completed".

errorstring

Error message if status is "failed".

metricsobject

Performance metrics.

predict_timenumber

Time taken for image generation in seconds.

created_atstringrequired

ISO 8601 timestamp when the prediction was created.

Format: date-time

completed_atstring

ISO 8601 timestamp when the prediction was completed.

Format: date-time

Exempelsvar

{
  "id": "pred_abc123",
  "status": "completed",
  "model": "model-name",
  "outputs": [
    "https://storage.atlascloud.ai/outputs/result.png"
  ],
  "metrics": {
    "predict_time": 8.3
  },
  "created_at": "2025-01-01T00:00:00Z",
  "completed_at": "2025-01-01T00:00:10Z"
}

Atlas Cloud Skills

Atlas Cloud Skills integrerar 300+ AI-modeller direkt i din AI-kodassistent. Ett kommando för att installera, sedan använd naturligt språk för att generera bilder, videor och chatta med LLM.

Stödda klienter

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ stödda klienter

Installera

npx skills add AtlasCloudAI/atlas-cloud-skills

Konfigurera API Key

Hämta din API key från Atlas Cloud-instrumentpanelen och ställ in den som en miljövariabel.

export ATLASCLOUD_API_KEY="your-api-key-here"

Funktioner

När det är installerat kan du använda naturligt språk i din AI-assistent för att komma åt alla Atlas Cloud-modeller.

BildgenereringGenerera bilder med modeller som Nano Banana 2, Z-Image och fler.

VideoskapandeSkapa videor från text eller bilder med Kling, Vidu, Veo m.fl.

LLM-chattChatta med Qwen, DeepSeek och andra stora språkmodeller.

MediauppladdningLadda upp lokala filer för bildredigering och bild-till-video-arbetsflöden.

Läs mer

github.com/AtlasCloudAI/atlas-cloud-skills

MCP Server

Atlas Cloud MCP Server ansluter din IDE med 300+ AI-modeller via Model Context Protocol. Fungerar med alla MCP-kompatibla klienter.

Stödda klienter

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ stödda klienter

Installera

npx -y atlascloud-mcp

Konfiguration

Lägg till följande konfiguration i din IDE:s MCP-inställningsfil.

{
  "mcpServers": {
    "atlascloud": {
      "command": "npx",
      "args": [
        "-y",
        "atlascloud-mcp"
      ],
      "env": {
        "ATLASCLOUD_API_KEY": "your-api-key-here"
      }
    }
  }
}

Tillgängliga verktyg

atlas_generate_imageGenerera bilder från textpromptar.

atlas_generate_videoSkapa videor från text eller bilder.

atlas_chatChatta med stora språkmodeller.

atlas_list_modelsBläddra bland 300+ tillgängliga AI-modeller.

atlas_quick_generateInnehållsskapande i ett steg med automatiskt modellval.

atlas_upload_mediaLadda upp lokala filer för API-arbetsflöden.

Läs mer

github.com/AtlasCloudAI/mcp-server

API Schema

Schema ej tillgängligt

Inga exempel tillgängliga

Laddar...

Modellhöjdpunkter

Med fem kärnfunktioner: precis instruktionsredigering, hög egenskapsbevarande, djup avsiktsförståelse, flerbilds in-/utmatning och Ultra HD-upplösning. Täcker varierande kreativa scenarier och låter varje inspiration framträda i hög kvalitet på ett ögonblick.

Precisionsinstruktionsredigering

Beskriv bara dina behov i vardagligt språk för att exakt utföra tillägg, borttagning, ändring och ersättning. Lämpar sig för tillämpningar inom kommersiell design, konstnärligt skapande och underhållning.

Hög egenskapsbevarande

Karaktärskonsistens:Bevarar i hög grad karaktärens särdrag över olika kreativa stilar (illustration/3D/fotografi) och håller skapandet alltid kontrollerbart

Scenbevarande:Bevarar originalbildens detaljer i största möjliga mån – ingen oro för en "AI-oljig" känsla efter redigering, vilket möjliggör förlustfri redigering

Djup avsiktsförståelse

Kunskapsuppgradering:Experternas kunskapsbas tar textförståelsen till nästa nivå

Konkretisering av inspiration:Från abstrakt till konkret – förvandlar de mest "hejvilda" infallen till verklighet

Prediktivt resonemang:Starkare resonemangsförmåga som simulerar förutsägelser över tid och rum och gör det osynliga synligt

Adaptivt bildförhållande:När det är aktiverat matchas automatiskt det bästa bildförhållandet för din bild

Flerbilds in-/utmatning

Mata in flera bilder på en gång med stöd för komplexa redigeringsoperationer som kombination, överföring, ersättning och derivering, vilket möjliggör avancerad bildsyntes

Ultra HD-upplösning

Upplösningen uppgraderas igen med stöd för ultrahögupplöst utdata för professionell bildkvalitet

Användningsområden

🎨

Kommersiell design

🖼️

Konstnärlig skapande

📸

Fotoredigering

🎮

Speltillgångar

👤

Karaktärsdesign

🏗️

Arkitekturvisualisering

📱

Sociala medier

🎬

Film & animation

Precision Editing

Perspective & Composition Control

Transform camera angles, adjust scene distance, and modify aspect ratios with precision

Prompt Template

Change the camera angle from eye-level to bird's-eye view, adjust the scene from close-up to medium shot, and convert the image aspect ratio to 16:9. Maintain all original elements and lighting while adapting the composition for the new perspective and format.

Text & Formula Generation

Mathematical Whiteboard Creation

Generate clean whiteboard with precise mathematical formulas and equations

Prompt Template

Create a clean white whiteboard with the following mathematical equations written in clear, professional handwriting: E=mc², √(9)=3, and the quadratic formula (-b±√(b²-4ac))/2a. Use black or dark blue marker style, with proper spacing and mathematical notation.

Deep Intent Understanding

Sketch to Reality Transformation

Transform rough sketches into detailed realistic objects - bringing wild imagination to life

Prompt Template

Based on this rough sketch, generate a vintage television set from the 1950s-60s era. Transform the abstract lines and shapes into a realistic, detailed old-style TV with wooden cabinet, rounded screen, control knobs, and period-appropriate design elements. Make the vague concept concrete and lifelike.

High Feature Preservation

Lossless Detail Enhancement

Maximize original image detail retention, avoiding AI-generated artifacts for truly lossless editing

Prompt Template

Enhance this image while maximizing the preservation of original details. Avoid any AI-generated 'plastic' or 'oily' artifacts. Maintain authentic textures, natural lighting, and original image characteristics. Focus on clean, lossless enhancement that respects the source material's integrity.

Text Transformation

Creative Font Styling

Transform plain text into artistic, creative typography while maintaining readability

Prompt Template

Transform all the text in this image into creative, artistic fonts. Replace the standard typography with stylized lettering that matches the image's aesthetic - use decorative fonts, calligraphy styles, or artistic text treatments. Maintain the same text content and layout while making the typography more visually appealing and creative.

Kärnfunktioner

Generering

Text-till-bild-skapande

Avancerad textförståelse och bildgenerering med stöd för olika konstnärliga stilar och professionella krav – från koncept till färdigt konstverk i ett enda steg.

Redigering

Intelligent bildredigering

Redigeringskommandon baserade på naturligt språk med stöd för objekttillägg/-borttagning, stilöverföring, bakgrundsersättning och mer komplexa redigeringsoperationer.

Syntés

Flerbildskomposition

Revolutionerande flerbildsinmatning som möjliggör komplex bildsyntes, stilöverföring och kreativa kombinationer med oöverträffad kontroll.

Varför välja Seedream 4.0?

🚀

Allt-i-ett-lösning

En enda modell hanterar generering, redigering och komposition – inget behov av att växla mellan olika verktyg

🎯

Professionell kvalitet

Kommersiell utdatakvalitet med exakt kontroll över varje detalj

🔄

Konsekvent stil

Bibehåller karaktärs- och stilkonsistens över flera genereringar och redigeringar

Tekniska Specifikationer

Modellarkitektur:Drivs av ByteDance Doubao AI

Kärnfunktioner:Generering + Redigering Integrerat

Upplösningsstöd:Ultra HD-utdata

Inmatningsstöd:Text, En-/Flerbilder

Utdataformat:PNG, JPEG, WebP

API-integration:RESTful API med SDK-stöd

Upplev kraften i Seedream 4.0

Slut dig till kreatörer över hela världen och revolutionera skapandet av visuellt innehåll med ByteDances mest avancerade integrerade bild-AI-modell.

✨Professionella verktyg

⚡Blixtsnabbt

🌐Allt-i-ett-plattform

Seedream 4: A next-generation multimodal image generation system developed by ByteDance Seed

Model Card Overview

Field	Description
Model Name	Seedream 4
Developed by	ByteDance Seed Team
Release Date	September 9, 2025
Model Type	Multimodal Image Generation
Related Links	Official Website, Technical Report (arXiv), GitHub Organization (ByteDance-Seed)

Introduction

Seedream 4 is a powerful, efficient, and high-performance multimodal image generation system that unifies text-to-image (T2I) synthesis, image editing, and multi-image composition within a single, integrated framework. Engineered for scalability and efficiency, the model introduces a novel diffusion transformer (DiT) architecture combined with a powerful Variational Autoencoder (VAE). This design enables the fast generation of native high-resolution images up to 4K, while significantly reducing computational requirements compared to its predecessors.

The primary goal of Seedream 4 is to extend traditional T2I systems into a more interactive and multidimensional creative tool. It is designed to handle complex tasks involving precise image editing, in-context reasoning, and multi-image referencing, pushing the boundaries of generative AI for both creative and professional applications.

Key Features & Innovations

Seedream 4 introduces several key advancements in image generation technology:

Unified Multimodal Architecture: It integrates T2I generation, image editing, and multi-image composition into a single model, allowing for seamless transitions between different creative workflows.
Efficient and Scalable Design: The model features a highly efficient DiT backbone and a high-compression VAE, achieving over 10x inference acceleration compared to Seedream 3.0 while delivering superior performance. This architecture is hardware-friendly and easily scalable.
Ultra-Fast, High-Resolution Output: Seedream 4 can generate native high-resolution images (from 1K to 4K) in as little as 1.4 to 1.8 seconds for a 2K image, greatly enhancing user interaction and production efficiency.
Advanced Multimodal Capabilities: The model excels at complex tasks such as precise, instruction-based image editing, in-context reasoning, and generating new images by blending elements from multiple reference images.
Professional and Knowledge-Based Content Generation: Beyond artistic imagery, Seedream 4 can generate structured and knowledge-based content, including charts, mathematical formulas, and professional design materials, bridging the gap between creative expression and practical application.
Advanced Training and Acceleration: The model is pre-trained on billions of text-image pairs and utilizes a multi-stage post-training process (CT, SFT, RLHF) to enhance its capabilities. Inference is accelerated through a combination of adversarial distillation, quantization, and speculative decoding.

Model Architecture & Technical Details

Seedream 4's architecture is a significant leap forward, focusing on efficiency and power. The core components are a diffusion transformer (DiT) and a Variational Autoencoder (VAE).

Pre-training Data: Billions of text-image pairs, including a specialized pipeline for knowledge-related data like instructional images and formulas.
Training Strategy: A multi-stage approach, starting at a 512x512 resolution and fine-tuning at higher resolutions up to 4K.
Post-training: A joint multi-task process involving Continuing Training (CT), Supervised Fine-Tuning (SFT), and Reinforcement Learning from Human Feedback (RLHF) to enhance instruction following and alignment.
Inference Acceleration: A holistic system combining an adversarial learning framework, hardware-aware quantization (adaptive 4/8-bit), and speculative decoding.

Intended Use & Applications

Seedream 4 is designed for a wide range of creative and professional applications, moving beyond simple image generation to become a comprehensive visual content creation tool.

Creative Content Generation: Creating high-quality, artistic images, illustrations, and concept art from text prompts.
Advanced Image Editing: Performing complex edits on existing images using natural language instructions, such as adding or removing objects, changing styles, and modifying backgrounds.
Design and Marketing: Generating professional design materials, product mockups, and marketing visuals with precise control over text and branding elements.
Educational and Technical Content: Creating structured, knowledge-based visuals like diagrams, charts, and mathematical formulas for educational or technical documentation.
Multi-Image Composition: Blending elements from multiple source images to create new compositions, such as virtual try-ons for fashion or combining characters with new scenes.

Performance

Seedream 4 has demonstrated state-of-the-art performance on both internal and public benchmarks as of September 18, often outperforming other leading models in text-to-image and image editing tasks.

MagicBench (Internal Benchmark)

Task	Performance Summary
Text-to-Image	Achieved high scores in prompt following, aesthetics, and text-rendering.
Single-Image Editing	Showed a good balance between prompt following and alignment with the source image.

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Seedream v5.0 Lite Edit Sequential

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Seedream v5.0 Lite

ByteDance next-generation image model with enhanced quality, typography, and poster design. Supports PNG output and fast prompt optimization mode.

Seedream v4.5

ByteDance latest image generation model achieving all-round improvements. Excels at typography, poster design, and brand visual creation with superior prompt adherence.

Seedream v4.5 Edit

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Seedream v4.5 Sequential

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Seedream v4.5 Edit Sequential

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Seedream v4

Open and Advanced Large-Scale Image Generative Models.

Seedream v4 Sequential

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Openai GPT Image 2 Text-to-Image

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Openai GPT Image 2 Edit

GPT Image 2 Edit is OpenAI's image model for precise, natural-language edits. Add/remove objects, swap backgrounds, retouch faces, adjust colors/lighting, edit text/graphics, crop/resize, and apply hex color control. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

GPT Image 2 Developer Edit

GPT Image 2 Developer Edit applies natural-language instructions to one or more reference images, with common aspect ratios and 1k, 2k, or supported 4k output tiers. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

GPT Image 2 Developer Text-to-Image

GPT Image 2 Developer Text-to-Image generates polished visuals from natural-language prompts, with common aspect ratios and 1k, 2k, or supported 4k output tiers. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

From$0.009/BILD

$0.004/BILD

-50%

Ett API för all media-AI.

Utforska alla modeller

Seedream v4 Edit API by ByteDance

Inmatning

Utmatning

Parametrar

Kodexempel

Installera

Autentisering

HTTP-huvuden

Skicka en förfrågan

Skicka en förfrågan

Förfrågningsinnehåll

Svar

Kontrollera status

Polling-exempel

Statusvärden

Slutfört svar

Ladda upp filer

Uppladdningsexempel

Svar

Input Schema

Exempel på förfrågningsinnehåll

Output Schema

Exempelsvar

Atlas Cloud Skills

Stödda klienter

Installera

Konfigurera API Key

Funktioner

MCP Server

Stödda klienter

Installera

Konfiguration

Tillgängliga verktyg

API Schema

Seedream 4.0 – ByteDances allt-i-ett-modell för visuellt skapande

Modellhöjdpunkter

Precisionsinstruktionsredigering

Hög egenskapsbevarande

Djup avsiktsförståelse

Flerbilds in-/utmatning

Ultra HD-upplösning

Användningsområden

Prompt Examples & Creative Templates

Perspective & Composition Control

Mathematical Whiteboard Creation

Sketch to Reality Transformation

Lossless Detail Enhancement

Creative Font Styling

Kärnfunktioner

Varför välja Seedream 4.0?

Allt-i-ett-lösning

Professionell kvalitet

Konsekvent stil

Tekniska Specifikationer

Upplev kraften i Seedream 4.0

Seedream 4: A next-generation multimodal image generation system developed by ByteDance Seed

Model Card Overview

Introduction

Key Features & Innovations

Model Architecture & Technical Details

Intended Use & Applications

Performance

Utforska Liknande Modeller

Seed3D 2.0 Image-to-3D

Seedream v5.0 Lite Edit Sequential

Seedream v5.0 Lite Sequential

Seedream v5.0 Lite Edit

Seedream v5.0 Lite

Seedream v4.5

Seedream v4.5 Edit

Seedream v4.5 Sequential

Seedream v4.5 Edit Sequential

Seedream v4

Seedream v4 Sequential

Seedream v4 Edit Sequential

Openai GPT Image 2 Text-to-Image

Openai GPT Image 2 Edit

GPT Image 2 Developer Edit

GPT Image 2 Developer Text-to-Image

Ett API för all media-AI.