google/nano-banana/text-to-image-developer

Open and Advanced Large-Scale Image Generative Models.

TEXT-TO-IMAGENEW
Nano Banana Text-to-image Developer
text-till-bild
DEV

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 $0.023. För $10 kan du köra cirka 434 gånger.

Du kan fortsätta med:

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": "google/nano-banana/text-to-image-developer",
    "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.

bash
pip install requests

Autentisering

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

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

HTTP Headers

python
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": "google/nano-banana/text-to-image-developer",
    "input": {
        "prompt": "A beautiful landscape with mountains and lake"
    }
}

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

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

Svar

{
  "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

json
{
  "model": "google/nano-banana/text-to-image-developer"
}

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

json
{
  "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

bash
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.

bash
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.

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

bash
npx -y atlascloud-mcp

Konfiguration

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

json
{
  "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.

API Schema

Schema ej tillgängligt

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Seedance 1.5 Pro

NATIV LJUD-VISUELL GENERERING

Ljud och Bild, Allt i Ett Tag

ByteDances revolutionerande AI-modell som genererar perfekt synkroniserat ljud och video samtidigt från en enda enhetlig process. Upplev äkta nativ ljud-visuell generering med millisekundprecis läppsynk över 8+ språk.

Advanced Image Generation
  • Multi-image fusion technology
  • Character consistency across generations
  • Style-preserving transformations
  • High-resolution output up to 4K
Smart Editing Tools
  • Text-based intelligent editing
  • Object addition and removal
  • Background replacement
  • Style transfer and artistic effects

Prompt Examples & Templates

Explore curated prompt templates to unlock the full potential of Nano Banana AI. Click to copy any prompt and start creating immediately.

Photo to Character Figure
Transform to Figure

Photo to Character Figure

Transform any photo into a realistic character figure with packaging and display
Prompt

turn this photo into a character figure. Behind it, place a box with the character's image printed on it, and a computer showing the Blender modeling process on its screen. In front of the box, add a round plastic base with the character figure standing on it. set the scene indoors if possible

Anime to Cosplay
Anime to Real

Anime to Cosplay

Transform anime illustrations into realistic cosplay photography
Prompt

Generate a highly detailed photo of a girl cosplaying this illustration, at Comiket. Exactly replicate the same pose, body posture, hand gestures, facial expression, and camera framing as in the original illustration. Keep the same angle, perspective, and composition, without any deviation

Person to Action Figure
Photo to Action Figure

Person to Action Figure

Transform people from photos into collectible action figures with custom packaging
Prompt

Transform the the person in the photo into an action figure, styled after [CHARACTER_NAME] from [SOURCE / CONTEXT]. Next to the figure, display the accessories including [ITEM_1], [ITEM_2], and [ITEM_3]. On the top of the toy box, write "[BOX_LABEL_TOP]", and underneath it, "[BOX_LABEL_BOTTOM]". Place the box in a [BACKGROUND_SETTING] environment. Visualize this in a highly realistic way with attention to fine details.

Person to Funko Pop Figure
Photo to Funko Pop

Person to Funko Pop Figure

Transform photos into Funko Pop style collectible figures with custom packaging
Prompt

Transform the person in the photo into the style of a Funko Pop figure packaging box, presented in an isometric perspective. Label the packaging with the title 'ZHOGUE'. Inside the box, showcase the figure based on the person in the photo, accompanied by their essential items (such as cosmetics, bags, or others). Next to the box, also display the actual figure itself outside of the packaging, rendered in a realistic and lifelike style.

Product Design to Photorealistic Render
Design to Reality

Product Design to Photorealistic Render

Transform product design sketches into photorealistic renders
Prompt

turn this illustration of a perfume into a realistic version, Frosted glass bottle with a marble cap

Transform to Q-Version Character
Face Reference Control

Transform to Q-Version Character

Create cartoon characters with face shape reference control
Prompt

Transform the person from image 1 into a Q-version character design based on the face shape from image 2

Building to 3D Architecture Model
Architecture to Model

Building to 3D Architecture Model

Convert architectural photos into detailed physical models
Prompt

convert this photo into a architecture model. Behind the model, there should be a cardboard box with an image of the architecture from the photo on it. There should also be a computer, with the content on the computer screen showing the Blender modeling process of the figurine. In front of the cardboard box, place a cardstock and put the architecture model from the photo I provided on it. I hope the PVC material can be clearly presented. It would be even better if the background is indoors.

Technical Highlights

Performance
Lightning-Fast Generation

Optimized for speed with generation times under 2 seconds for most tasks, making it perfect for real-time applications and rapid prototyping workflows.

Quality
Exceptional Output Quality

Leveraging Google's advanced AI architecture to produce highly detailed, photorealistic images with accurate lighting, textures, and compositions.

Innovation
Novel View Synthesis

Revolutionary 2D-to-3D conversion capabilities enabling creation of multiple viewpoints from a single image, opening new possibilities for content creation.

Perfekt För

📸
Product Photography
🎨
Digital Art Creation
Photo Enhancement
📊
Marketing Visuals
👤
Character Design
👔
Virtual Try-On
📱
Social Media
🔄
Photo Restoration

Why Choose Nano Banana?

🚀
No Setup Required
Start creating immediately without complex configurations or installations
🎯
Precision Control
Fine-tune every aspect of your creation with intuitive text commands
🔄
Consistent Results
Maintain character and style consistency across multiple generations

Tekniska Specifikationer

Model Architecture:Google AI Studio Powered
Processing Speed:< 2 seconds average generation time
Resolution Support:Up to 4096x4096 pixels
Format Support:PNG, JPEG, WebP output formats
Multi-modal Input:Text, Image, and Combined prompts
API Integration:RESTful API with comprehensive documentation

Upplev Nativ Ljud-Visuell Generering

Gå med filmskapare, annonsörer och kreatörer över hela världen som revolutionerar videoskapande med Seedance 1.5 Pro:s banbrytande teknologi.

Free Credits to Start
Instant Access
🌐Works Everywhere

Google Nano Banana Text-to-Image

Nano Banana Text-to-Image is Google’s lightweight yet powerful AI image generation model, built for creators who need fast, high-quality visuals from simple text prompts. It transforms words into expressive, realistic images with remarkable clarity, composition, and style diversity — all within seconds.

Difference to Nano Banana Text-to-Image: This model is cheaper and less stable than the version of Nano Banana Text-to-Image.

Try the New Version of Nano Banana!

🌟 Why it stands out

  • Instant Image Creation Generate beautiful, coherent visuals from just a short text prompt — no design skills required.

  • Versatile Visual Styles Supports realistic, illustrative, anime, and painterly outputs, adapting naturally to your creative intent.

  • Accurate Text-to-Scene Understanding Accurately interprets subjects, backgrounds, and object relationships to create contextually correct compositions.

  • Fast & Efficient Optimized for quick turnaround and minimal compute cost, perfect for rapid prototyping and social content.

  • Clean, Balanced Lighting Produces visually appealing results without overexposure or unnatural shadows — ideal for portraits, landscapes, and product imagery.

⚙️ Capabilities

  • Input: text prompt

  • Output: high-quality image (JPEG/PNG/WEBP)

  • Supports multiple aspect ratios and output format

  • Compatible with descriptive prompts such as:

    • “A golden retriever playing in a field of sunflowers at sunset.”
    • “A futuristic city skyline with neon reflections on wet streets.”
    • “An elegant still-life photo of coffee and croissants by a window.”

💰 Pricing

  • $0.019 per image
  • Commercial use allowed

💡 Best Use Cases

  • Social Media & Marketing — Create on-brand visuals instantly.
  • Concept Art & Storyboarding — Generate design ideas and moodboards effortlessly.
  • E-commerce & Advertising — Produce high-quality product images without photography.
  • Education & Presentation — Visualize complex ideas or creative concepts easily.

📝 Notes

Please ensure your prompts comply with Google’s Safety Guidelines. If an error occurs, review your prompt for restricted content, adjust it, and try again.

Börja från 300+ Modeller,

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