
Nano Banana Text-to-Image API by Google
Google's state-of-the-art image generation and editing model.
Invoer
Uitvoer
InactiefElke uitvoering kost $0.038. Voor $10 kunt u ongeveer 263 keer uitvoeren.
U kunt doorgaan met:
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": "google/nano-banana/text-to-image",
"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()Installeren
Installeer het vereiste pakket voor uw programmeertaal.
pip install requestsAuthenticatie
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}"
}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.
/api/v1/model/generateImageVerzoekinhoud
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",
"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']}")Antwoord
{
"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.
/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.
/api/v1/model/uploadMediaUpload-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.
Geen parameters beschikbaar.
Voorbeeld verzoekinhoud
{
"model": "google/nano-banana/text-to-image"
}Uitvoer-Schema
De API retourneert een voorspellingsantwoord met de gegenereerde uitvoer-URL's.
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 300 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
Installeren
npx skills add AtlasCloudAI/atlas-cloud-skillsAPI-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.
MCP-server
De Atlas Cloud MCP-server verbindt uw IDE met meer dan 300 AI-modellen via het Model Context Protocol. Werkt met elke MCP-compatibele client.
Ondersteunde clients
Installeren
npx -y atlascloud-mcpConfiguratie
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
API Schema
Schema niet beschikbaarInloggen om aanvraaggeschiedenis te bekijken
U moet ingelogd zijn om toegang te krijgen tot uw modelaanvraaggeschiedenis.
InloggenSeedance 1.5 Pro
NATIVE AUDIO-VISUELE GENERATIEGeluid en Beeld, Alles in Één Opname
ByteDance's revolutionaire AI-model dat perfect gesynchroniseerde audio en video simultaan genereert vanuit één uniform proces. Ervaar echte native audio-visuele generatie met millisecondennauwkeurige lipsynchronisatie in meer dan 8 talen.
- Multi-image fusion technology
- Character consistency across generations
- Style-preserving transformations
- High-resolution output up to 4K
- 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 any photo into a realistic character figure with packaging and displayturn 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
Transform anime illustrations into realistic cosplay photographyGenerate 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
Transform people from photos into collectible action figures with custom packagingTransform 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
Transform photos into Funko Pop style collectible figures with custom packagingTransform 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
Transform product design sketches into photorealistic rendersturn this illustration of a perfume into a realistic version, Frosted glass bottle with a marble cap

Transform to Q-Version Character
Create cartoon characters with face shape reference controlTransform the person from image 1 into a Q-version character design based on the face shape from image 2

Building to 3D Architecture Model
Convert architectural photos into detailed physical modelsconvert 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
Optimized for speed with generation times under 2 seconds for most tasks, making it perfect for real-time applications and rapid prototyping workflows.
Leveraging Google's advanced AI architecture to produce highly detailed, photorealistic images with accurate lighting, textures, and compositions.
Revolutionary 2D-to-3D conversion capabilities enabling creation of multiple viewpoints from a single image, opening new possibilities for content creation.
Perfect Voor
Why Choose Nano Banana?
No Setup Required
Start creating immediately without complex configurations or installationsPrecision Control
Fine-tune every aspect of your creation with intuitive text commandsConsistent Results
Maintain character and style consistency across multiple generationsTechnische Specificaties
Ervaar Native Audio-Visuele Generatie
Sluit u aan bij filmmakers, adverteerders en creators wereldwijd die videocontent creatie revolutioneren met de baanbrekende technologie van Seedance 1.5 Pro.
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.
Try the New Version of Nano Banana!
- Nano Banana Pro
- Nano Banana Pro edit
- Nano Banana Pro Ultra
- Nano Banana Pro Edit Ultra
- Nano Banana Pro Multi
🌟 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
- $0.0304 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.






