hidream-o1-1.5/text-to-image

Tekst-naar-Beeld

HiDream O1 1.5 Text-to-Image API

hidream-o1-1.5/text-to-image

Text-to-image

HiDream O1 1.5 Text-to-Image is ontwikkeld door HiDream.ai. Atlas Cloud (geëxploiteerd door Atlas Cloud AI LLC) biedt toegang tot het model maar is niet de eigenaar ervan. Alle handelsmerken zijn eigendom van hun respectieve eigenaren.

Invoer

Prompt *

Image size

Beeldverhouding vergrendeld: als u één zijde wijzigt, wordt de andere proportioneel aangepast. Klik op het slot om vrij te bewerken.

Num inference steps

Guidance scale

Output format

Uitvoer

Inactief

Uw gegenereerde afbeeldingen verschijnen hier

Configureer parameters en klik op Uitvoeren om te beginnen met genereren

Elke uitvoering kost $0.044. Voor $10 kunt u ongeveer 227 keer uitvoeren.

U kunt doorgaan met:

Beeld naar video Beeld naar beeld

Parameters

Codevoorbeeld
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": "hidream-o1-1.5/text-to-image",  # Required. model name
    "prompt": "A beautiful landscape with mountains and lake",  # Required. The text prompt describing the image to generate
    "reference_image_urls": [],  # Reference image URLs for image-to-image generation
    "image_size": "landscape_4_3",  # Output image size. options: square_hd | square | portrait_4_3 | portrait_16_9 | landscape_4_3 | landscape_16_9
    "num_inference_steps": 50,  # Number of denoising steps. (min: 1, max: 50)
    "guidance_scale": 5,  # Classifier-free guidance scale. (min: 1, max: 20)
    "output_format": "png",  # Output image format. options: png | jpeg | webp
}

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()

Installeren

Installeer het vereiste pakket voor uw programmeertaal.

pip install requests

Authenticatie

Alle API-verzoeken vereisen authenticatie via een API-sleutel. U kunt uw API-sleutel ophalen via het Atlas Cloud dashboard.

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

HTTP-headers

import os

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

Bescherm uw API-sleutel

Stel uw API-sleutel nooit bloot in client-side code of openbare repositories. Gebruik in plaats daarvan omgevingsvariabelen of een backend-proxy.

Een verzoek indienen

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())

Een verzoek indienen

Dien een asynchroon generatieverzoek in. De API retourneert een voorspellings-ID waarmee u de status kunt controleren en het resultaat kunt ophalen.

POST/api/v1/model/generateImage

Verzoekinhoud

import requests

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

data = {
    "model": "hidream-o1-1.5/text-to-image",
    "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']}")

Antwoord

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

Status controleren

Bevraag het voorspellings-eindpunt om de huidige status van uw verzoek te controleren.

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

Polling-voorbeeld

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)

Statuswaarden

processingHet verzoek wordt nog verwerkt.

completedDe generatie is voltooid. Resultaten zijn beschikbaar.

succeededDe generatie is geslaagd. Resultaten zijn beschikbaar.

failedDe generatie is mislukt. Controleer het foutveld.

Voltooid antwoord

{
  "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"
  }
}

Bestanden uploaden

Upload bestanden naar Atlas Cloud opslag en ontvang een URL die u kunt gebruiken in uw API-verzoeken. Gebruik multipart/form-data om te uploaden.

POST/api/v1/model/uploadMedia

Upload-voorbeeld

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}")

Antwoord

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

Invoer-Schema

De volgende parameters worden geaccepteerd in de verzoekinhoud.

Totaal: 7Vereist: 2Optioneel: 5

modelstringrequired

model name

Default: "hidream-o1-1.5/text-to-image"

promptstringrequired

The text prompt describing the image to generate. Maximum 2,500 characters.

reference_image_urlsarray[string]

Reference image URLs for image-to-image generation. Use none for text-to-image, one URL for image editing, or multiple URLs for subject-driven personalization. Accepts public URLs.

image_sizestring

Output image size. Choose a preset or specify custom dimensions.

Default: "landscape_4_3"

square_hdsquareportrait_4_3portrait_16_9landscape_4_3landscape_16_9

num_inference_stepsinteger

Number of denoising steps. Higher values improve quality but increase generation time.

Default: 50Min: 1Max: 50

guidance_scalenumber

Classifier-free guidance scale. Higher values make the output follow the prompt more closely.

Default: 5Min: 1Max: 20

output_formatstring

Output image format.

Default: "png"

pngjpegwebp

Voorbeeld verzoekinhoud

{
  "model": "hidream-o1-1.5/text-to-image",
  "prompt": "A beautiful landscape",
  "image_size": "landscape_4_3",
  "num_inference_steps": 50,
  "guidance_scale": 5,
  "output_format": "png"
}

Uitvoer-Schema

De API retourneert een voorspellingsantwoord met de gegenereerde uitvoer-URL's.

modelstring

model name

Default: "hidream-o1-1.5/text-to-image"

created_atstring

ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

idstring

Unique identifier for the prediction.

outputsarray

Array of URLs to the generated images. Null when status is not completed.

statusstring

Status of the task: created, processing, completed, or failed.

Voorbeeldantwoord

{
  "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 integreert meer dan 400 AI-modellen rechtstreeks in uw AI-codeerassistent. Eén commando om te installeren, gebruik daarna natuurlijke taal om afbeeldingen, video's te genereren en te chatten met LLMs.

Ondersteunde clients

Claude Code

OpenAI Codex

Gemini CLI

Cursor

Windsurf

VS Code

Trae

GitHub Copilot

Cline

Roo Code

Amp

Goose

Replit

40+ ondersteunde clients

Installeren

npx skills add AtlasCloudAI/atlas-cloud-skills

API-sleutel instellen

Haal uw API-sleutel op via het Atlas Cloud dashboard en stel deze in als omgevingsvariabele.

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

Mogelijkheden

Eenmaal geïnstalleerd kunt u natuurlijke taal gebruiken in uw AI-assistent om toegang te krijgen tot alle Atlas Cloud modellen.

BeeldgeneratieGenereer afbeeldingen met modellen zoals Nano Banana 2, Z-Image en meer.

VideocreatieMaak video's van tekst of afbeeldingen met Kling, Vidu, Veo, enz.

LLM-chatChat met Qwen, DeepSeek en andere grote taalmodellen.

Media uploadenUpload lokale bestanden voor beeldbewerking en afbeelding-naar-video workflows.

Meer informatie

github.com/AtlasCloudAI/atlas-cloud-skills

MCP-server

De Atlas Cloud MCP-server verbindt uw IDE met meer dan 400 AI-modellen via het Model Context Protocol. Werkt met elke MCP-compatibele client.

Ondersteunde clients

Cursor

VS Code

Windsurf

Claude Code

OpenAI Codex

Gemini CLI

Cline

Roo Code

100+ ondersteunde clients

Installeren

npx -y atlascloud-mcp

Configuratie

Voeg de volgende configuratie toe aan het MCP-instellingenbestand van uw IDE.

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

Beschikbare tools

atlas_generate_imageGenereer afbeeldingen op basis van tekstprompts.

atlas_generate_videoMaak video's van tekst of afbeeldingen.

atlas_chatChat met grote taalmodellen.

atlas_list_modelsBlader door meer dan 300 beschikbare AI-modellen.

atlas_quick_generateContentcreatie in één stap met automatische modelselectie.

atlas_upload_mediaUpload lokale bestanden voor API-workflows.

Meer informatie

github.com/AtlasCloudAI/mcp-server

API Schema

{
  "info": {
    "description": "The AtlasCloud API.",
    "title": "AtlasCloud API",
    "version": "1.0.0"
  },
  "paths": {
    "/api/v1/model/generateImage": {
      "post": {
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "The request status."
          }
        },
        "requestBody": {
          "required": true,
          "content": {
            "application/json": {
              "schema": {
                "$ref": "#/components/schemas/Input"
              }
            }
          }
        }
      },
      "x-api-name": "model_run"
    },
    "/api/v1/model/prediction/{request_id}": {
      "get": {
        "responses": {
          "200": {
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/PredictionResponse"
                }
              }
            },
            "description": "Result of the request."
          }
        },
        "parameters": [
          {
            "in": "path",
            "name": "request_id",
            "schema": {
              "type": "string",
              "description": "Request ID"
            },
            "required": true
          }
        ]
      },
      "x-api-name": "model_result"
    }
  },
  "openapi": "3.0.0",
  "servers": [
    {
      "url": "https://api.atlascloud.ai"
    }
  ],
  "components": {
    "schemas": {
      "Input": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "hidream-o1-1.5/text-to-image"
          },
          "prompt": {
            "description": "The text prompt describing the image to generate. Maximum 2,500 characters.",
            "type": "string",
            "minLength": 1,
            "maxLength": 2500
          },
          "reference_image_urls": {
            "description": "Reference image URLs for image-to-image generation. Use none for text-to-image, one URL for image editing, or multiple URLs for subject-driven personalization. Accepts public URLs.",
            "type": "array",
            "items": {
              "type": "string"
            },
            "x-ui-component": "uploaders"
          },
          "image_size": {
            "description": "Output image size. Choose a preset or specify custom dimensions.",
            "type": "string",
            "default": "landscape_4_3",
            "enum": [
              "square_hd",
              "square",
              "portrait_4_3",
              "portrait_16_9",
              "landscape_4_3",
              "landscape_16_9"
            ],
            "x-ui-component": "select",
            "x-enum-labels": {
              "square_hd": "Square HD (1024×1024)",
              "square": "Square (512×512)",
              "portrait_4_3": "Portrait 4:3",
              "portrait_16_9": "Portrait 16:9",
              "landscape_4_3": "Landscape 4:3",
              "landscape_16_9": "Landscape 16:9"
            }
          },
          "num_inference_steps": {
            "description": "Number of denoising steps. Higher values improve quality but increase generation time.",
            "type": "integer",
            "default": 50,
            "minimum": 1,
            "maximum": 50
          },
          "guidance_scale": {
            "description": "Classifier-free guidance scale. Higher values make the output follow the prompt more closely.",
            "type": "number",
            "default": 5,
            "minimum": 1,
            "maximum": 20
          },
          "output_format": {
            "description": "Output image format.",
            "type": "string",
            "default": "png",
            "enum": [
              "png",
              "jpeg",
              "webp"
            ],
            "x-ui-component": "select"
          }
        },
        "required": [
          "model",
          "prompt"
        ],
        "type": "object",
        "x-order-properties": [
          "model",
          "prompt",
          "image_size",
          "num_inference_steps",
          "guidance_scale",
          "output_format"
        ]
      },
      "PredictionResponse": {
        "properties": {
          "model": {
            "type": "string",
            "description": "model name",
            "default": "hidream-o1-1.5/text-to-image"
          },
          "created_at": {
            "description": "ISO timestamp of when the request was created (e.g., \"2023-04-01T12:34:56.789Z\").",
            "format": "date-time",
            "type": "string"
          },
          "has_nsfw_contents": {
            "description": "Array of boolean values indicating NSFW detection for each output.",
            "items": {
              "type": "boolean"
            },
            "type": "array"
          },
          "id": {
            "description": "Unique identifier for the prediction.",
            "type": "string"
          },
          "outputs": {
            "description": "Array of URLs to the generated images. Null when status is not completed.",
            "items": {
              "type": "string"
            },
            "nullable": true,
            "type": "array"
          },
          "status": {
            "description": "Status of the task: created, processing, completed, or failed.",
            "type": "string"
          },
          "urls": {
            "description": "Object containing related API endpoints.",
            "type": "object"
          }
        },
        "type": "object"
      }
    },
    "securitySchemes": {
      "apiKeyAuth": {
        "in": "header",
        "name": "Authorization",
        "type": "apiKey"
      }
    }
  }
}

LLM-vriendelijke Promptsjabloon

# hidream-o1-1.5/text-to-image

## Overview

- **Submit endpoint (POST)**: `https://api.atlascloud.ai/api/v1/model/generateImage` — start an async generation; returns a `prediction_id`
- **Poll endpoint (GET)**: `https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}` — poll this until the prediction finishes
- **Model ID**: `hidream-o1-1.5/text-to-image`


## API Information

This model can be used via our HTTP API or more conveniently via our client libraries.
See the input and output schema below, as well as the usage examples.


### Input Schema

The API accepts the following input parameters:

- **`model`** (`string`, _required_):
  model name
  - Default: `"hidream-o1-1.5/text-to-image"`

- **`prompt`** (`string`, _required_):
  The text prompt describing the image to generate. Maximum 2,500 characters.

- **`image_size`** (`string`, _optional_):
  Output image size. Choose a preset or specify custom dimensions.
  - Default: `"landscape_4_3"`
  - Options: "square_hd", "square", "portrait_4_3", "portrait_16_9", "landscape_4_3", "landscape_16_9"

- **`num_inference_steps`** (`integer`, _optional_):
  Number of denoising steps. Higher values improve quality but increase generation time.
  - Default: `50`
  - Min: 1
  - Max: 50

- **`guidance_scale`** (`number`, _optional_):
  Classifier-free guidance scale. Higher values make the output follow the prompt more closely.
  - Default: `5`
  - Min: 1
  - Max: 20

- **`output_format`** (`string`, _optional_):
  Output image format.
  - Default: `"png"`
  - Options: "png", "jpeg", "webp"



**Required Parameters Example**:

```json
{
  "model": "hidream-o1-1.5/text-to-image",
  "prompt": ""
}
```


**Full Example**:

```json
{
  "model": "hidream-o1-1.5/text-to-image",
  "prompt": "",
  "image_size": "landscape_4_3",
  "num_inference_steps": 50,
  "guidance_scale": 5,
  "output_format": "png"
}
```


### Output Schema

The API returns the following output format:


- **`model`** (`string`, _optional_):
  model name
  - Default: `"hidream-o1-1.5/text-to-image"`

- **`created_at`** (`string`, _optional_):
  ISO timestamp of when the request was created (e.g., "2023-04-01T12:34:56.789Z").

- **`has_nsfw_contents`** (`array[boolean]`, _optional_):
  Array of boolean values indicating NSFW detection for each output.

- **`id`** (`string`, _optional_):
  Unique identifier for the prediction.

- **`outputs`** (`array[string]`, _optional_):
  Array of URLs to the generated images. Null when status is not completed.

- **`status`** (`string`, _optional_):
  Status of the task: created, processing, completed, or failed.

- **`urls`** (`object`, _optional_):
  Object containing related API endpoints.



**Example Response**:

```json
{
  "model": "hidream-o1-1.5/text-to-image",
  "created_at": "",
  "has_nsfw_contents": [],
  "id": "",
  "outputs": [
    ""
  ],
  "status": "",
  "urls": {}
}
```


## Usage Examples

### cURL

```bash
# Step 1: Start generation (async)
curl -X POST "https://api.atlascloud.ai/api/v1/model/generateImage" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "hidream-o1-1.5/text-to-image",
  "prompt": "",
  "image_size": "landscape_4_3",
  "num_inference_steps": 50,
  "guidance_scale": 5,
  "output_format": "png"
}'

# Response will contain: {"code": 200, "data": {"id": "prediction_id", "status": "processing"}}

# Step 2: Poll for result (replace {prediction_id} with the id returned above)
curl -X GET "https://api.atlascloud.ai/api/v1/model/prediction/{prediction_id}" \
  -H "Authorization: Bearer $ATLASCLOUD_API_KEY"

# Keep polling until status is "completed", "succeeded" or "failed"
# When completed, outputs will contain the generated content URL(s)
```

## Additional Resources

### Documentation

- [Model Playground](https://www.atlascloud.ai/models/hidream-o1-1.5/text-to-image)

A small bird carrying a banana flies through the ruins of an ancient stone bridge suspended over a deep canyon, vines and mist swallowing its broken arches. The journey feels like a forgotten legend being rewritten in motion. Cinematic storytelling, epic scale, moody atmosphere, volumetric fog, ultra-detailed, film still, 35mm anamorphic lens.

Laden...

HiDream O1 Image

HiDream O1 Image is a state-of-the-art image generation model by HiDream AI, supporting text-to-image, image editing, and subject-driven personalization in a single unified interface. With strong prompt fidelity, flexible aspect ratio control, and multi-reference personalization, HiDream O1 delivers high-quality creative output for professional and consumer use cases alike.

🌟 Key Features

✏️ Text-to-Image

Generate high-resolution images from detailed text prompts with strong semantic understanding and photorealistic quality.

🖼 Image Editing

Provide a single reference image to edit, transform, or stylize it while preserving the original composition and subject identity.

🎭 Subject-Driven Personalization

Supply multiple reference images to drive subject-consistent generation across varied scenes, styles, and contexts.

📐 Flexible Output Sizes

Choose from six standard presets — square HD, portrait, landscape — or match the reference image's original aspect ratio automatically.

🔁 Reproducible Results

Pin a seed value to reproduce or iterate on a specific generation, enabling systematic prompt refinement.

⚙️ Parameters

Parameter	Required	Description
`prompt`	✅	Text description of the image to generate. Maximum 5,000 characters.
`image_size`	❌	Output size preset: `square_hd`, `square`, `portrait_4_3`, `portrait_16_9`, `landscape_4_3` (default), `landscape_16_9`.
`num_inference_steps`	❌	Denoising steps (1–50, default: 50). Higher values improve quality but increase time.
`guidance_scale`	❌	Prompt adherence strength (1.0–20.0, default: 5.0). Higher values follow the prompt more strictly.
`output_format`	❌	Output format: `png` (default), `jpeg`, or `webp`.

💲 Pricing

Billing Standard	Price
Per image	$0.044

💡 Prompt Tips

A lone astronaut standing on a rust-colored alien desert, vast canyon in the background, golden hour lighting, cinematic composition, photorealistic.

Be specific about subject, environment, lighting, and camera angle for best results.
For image editing, describe what you want changed while referencing the original subject.
For personalization, provide 2–4 reference images from different angles or contexts.
Use guidance_scale between 4–7 for balanced creativity; go higher (8–12) when strict prompt adherence is needed.
Fix seed when iterating on a prompt to isolate the effect of each change.

🎯 Use Cases

Creative Illustration — Generate concept art, characters, and environments from descriptive text prompts.
Product Visualization — Transform product photos into styled marketing visuals with image editing mode.
Brand Personalization — Use multi-reference personalization to generate consistent subject appearances across campaigns.
Social Media Content — Quickly produce scroll-stopping visuals in portrait or square formats for any platform.
Rapid Prototyping — Iterate on creative directions at scale before committing to production assets.
Style Transfer — Apply artistic styles to existing images while preserving key compositional elements.

🔄 Generation Modes

Mode	`reference_image_urls`	Description
Text-to-Image	Not provided	Pure text-driven image generation
Image Editing	1 URL	Edit or stylize a single reference image
Personalization	2+ URLs	Subject-consistent generation across scenes

📝 Notes

prompt is the only required field (besides model).
reference_image_urls accepts publicly accessible image URLs.
keep_original_aspect only applies when reference_image_urls contains exactly one image.
Task status values: created, processing, completed, failed.
Generated image URLs are returned in outputs once status is completed.

HiDream O1 1.5 Text-to-Image API

Invoer

Uitvoer

Parameters

Codevoorbeeld

Installeren

Authenticatie

HTTP-headers

Een verzoek indienen

Een verzoek indienen

Verzoekinhoud

Antwoord

Status controleren

Polling-voorbeeld

Statuswaarden

Voltooid antwoord

Bestanden uploaden

Upload-voorbeeld

Antwoord

Invoer-Schema

Voorbeeld verzoekinhoud

Uitvoer-Schema

Voorbeeldantwoord

Atlas Cloud Skills

Ondersteunde clients

Installeren

API-sleutel instellen

Mogelijkheden

MCP-server

Ondersteunde clients

Installeren

Configuratie

Beschikbare tools

API Schema

LLM-vriendelijke Promptsjabloon

HiDream O1 Image

🌟 Key Features

✏️ Text-to-Image

🖼 Image Editing

🎭 Subject-Driven Personalization

📐 Flexible Output Sizes

🔁 Reproducible Results

⚙️ Parameters

💲 Pricing

💡 Prompt Tips

🎯 Use Cases

🔄 Generation Modes

📝 Notes

Ontdek Vergelijkbare Modellen

Openai GPT Image 2 Text-to-Image

Openai GPT Image 2 Edit

GPT Image 2 Developer Edit

GPT Image 2 Developer Text-to-Image

Seedream v5.0 Pro Layer Decomposition

Reve 2.1 Remix

Reve 2.1 Edit

Reve 2.1 Text-to-Image

Youchuan V8.2 Remove Background

Youchuan V8.2 Style Transfer

Youchuan V8.2 Blend

Youchuan V8.2 Image-to-Image

Youchuan V8.2 Text-to-Image

Seedream v5.0 Pro Edit

Seedream v5.0 Pro Text-to-Image

Nano Banana 2 Lite Edit Developer

Eén API voor alle media-AI.

Invoer

Uitvoer

Parameters

Codevoorbeeld

Installeren

Authenticatie

HTTP-headers

Een verzoek indienen

Een verzoek indienen

Verzoekinhoud

Antwoord

Status controleren

Polling-voorbeeld

Statuswaarden