Seedance Pro’s image-to-video mode transforms still visuals into cinematic motion, maintaining visual consistency and expressive animation across frames.
INPUT
Loading parameter configuration...
OUTPUT
IdleYour generated videos will appear here
Configure your settings and click Run to get started
Your request will cost 0.108 per run. For $10 you can run this model approximately 92 times.
Here's what you can do next:
Esempio di codice
import requests
import time
# Step 1: Start video generation
generate_url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "bytedance/seedance-v1-pro-i2v-1080p",
"prompt": "A beautiful sunset over the ocean with gentle waves",
"width": 512,
"height": 512,
"duration": 3,
"fps": 24,
}
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"] in ["completed", "succeeded"]:
print("Generated video:", 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)
video_url = check_status()Installa
Installa il pacchetto richiesto per il tuo linguaggio.
bash
pip install requestsAutenticazione
Tutte le richieste API richiedono l'autenticazione tramite una chiave API. Puoi ottenere la tua chiave API dalla dashboard di Atlas Cloud.
bash
export ATLASCLOUD_API_KEY="your-api-key-here"Header HTTP
python
import os
API_KEY = os.environ.get("ATLASCLOUD_API_KEY")
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {API_KEY}"
}Proteggi la tua chiave API
Non esporre mai la tua chiave API nel codice lato client o nei repository pubblici. Utilizza invece variabili d'ambiente o un proxy backend.
Invia una richiesta
import requests
url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
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())Invia una richiesta
Invia una richiesta di generazione asincrona. L'API restituisce un ID di previsione che puoi usare per controllare lo stato e recuperare il risultato.
POST
/api/v1/model/generateVideoCorpo della richiesta
import requests
url = "https://api.atlascloud.ai/api/v1/model/generateVideo"
headers = {
"Content-Type": "application/json",
"Authorization": "Bearer $ATLASCLOUD_API_KEY"
}
data = {
"model": "bytedance/seedance-v1-pro-i2v-1080p",
"input": {
"prompt": "A beautiful sunset over the ocean with gentle waves"
}
}
response = requests.post(url, headers=headers, json=data)
result = response.json()
print(f"Prediction ID: {result['id']}")
print(f"Status: {result['status']}")Risposta
{
"id": "pred_abc123",
"status": "processing",
"model": "model-name",
"created_at": "2025-01-01T00:00:00Z"
}Controlla lo stato
Interroga l'endpoint di previsione per verificare lo stato attuale della tua richiesta.
GET
/api/v1/model/prediction/{prediction_id}Esempio di polling
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)Valori di stato
processingLa richiesta è ancora in fase di elaborazione.completedLa generazione è completata. I risultati sono disponibili.succeededLa generazione è riuscita. I risultati sono disponibili.failedLa generazione è fallita. Controlla il campo errore.Risposta completata
{
"data": {
"id": "pred_abc123",
"status": "completed",
"outputs": [
"https://storage.atlascloud.ai/outputs/result.mp4"
],
"metrics": {
"predict_time": 45.2
},
"created_at": "2025-01-01T00:00:00Z",
"completed_at": "2025-01-01T00:00:10Z"
}
}Carica file
Carica file nello storage Atlas Cloud e ottieni un URL utilizzabile nelle tue richieste API. Usa multipart/form-data per il caricamento.
POST
/api/v1/model/uploadMediaEsempio di caricamento
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}")Risposta
{
"data": {
"download_url": "https://storage.atlascloud.ai/uploads/abc123/image.png",
"file_name": "image.png",
"content_type": "image/png",
"size": 1024000
}
}Schema di input
I seguenti parametri sono accettati nel corpo della richiesta.
Totale: 0Obbligatorio: 0Opzionale: 0
Nessun parametro disponibile.
Esempio di corpo della richiesta
json
{
"model": "bytedance/seedance-v1-pro-i2v-1080p"
}Schema di output
L'API restituisce una risposta di previsione con gli URL degli output generati.
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 video generation in seconds.
created_atstringrequired
ISO 8601 timestamp when the prediction was created.
completed_atstring
ISO 8601 timestamp when the prediction was completed.
Esempio di risposta
json
{
"id": "pred_abc123",
"status": "completed",
"model": "model-name",
"outputs": [
"https://storage.atlascloud.ai/outputs/result.mp4"
],
"metrics": {
"predict_time": 45.2
},
"created_at": "2025-01-01T00:00:00Z",
"completed_at": "2025-01-01T00:00:10Z"
}Atlas Cloud Skills
Atlas Cloud Skills integra oltre 300 modelli di IA direttamente nel tuo assistente di codifica IA. Un comando per installare, poi usa il linguaggio naturale per generare immagini, video e chattare con LLM.
Client supportati
Claude Code
OpenAI Codex
Gemini CLI
Cursor
Windsurf
VS Code
Trae
GitHub Copilot
Cline
Roo Code
Amp
Goose
Replit
40+ client supportati
Installa
bash
npx skills add AtlasCloudAI/atlas-cloud-skillsConfigura chiave API
Ottieni la tua chiave API dalla dashboard di Atlas Cloud e impostala come variabile d'ambiente.
bash
export ATLASCLOUD_API_KEY="your-api-key-here"Funzionalità
Una volta installato, puoi usare il linguaggio naturale nel tuo assistente IA per accedere a tutti i modelli Atlas Cloud.
Generazione di immaginiGenera immagini con modelli come Nano Banana 2, Z-Image e altri.
Creazione di videoCrea video da testo o immagini con Kling, Vidu, Veo, ecc.
Chat LLMChatta con Qwen, DeepSeek e altri grandi modelli linguistici.
Caricamento mediaCarica file locali per la modifica di immagini e flussi di lavoro da immagine a video.
Scopri di più
Server MCP
Il server MCP di Atlas Cloud collega il tuo IDE con oltre 300 modelli di IA tramite il Model Context Protocol. Funziona con qualsiasi client compatibile MCP.
Client supportati
Cursor
VS Code
Windsurf
Claude Code
OpenAI Codex
Gemini CLI
Cline
Roo Code
100+ client supportati
Installa
bash
npx -y atlascloud-mcpConfigurazione
Aggiungi la seguente configurazione al file delle impostazioni MCP del tuo IDE.
json
{
"mcpServers": {
"atlascloud": {
"command": "npx",
"args": [
"-y",
"atlascloud-mcp"
],
"env": {
"ATLASCLOUD_API_KEY": "your-api-key-here"
}
}
}
}Strumenti disponibili
atlas_generate_imageGenera immagini da prompt testuali.
atlas_generate_videoCrea video da testo o immagini.
atlas_chatChatta con grandi modelli linguistici.
atlas_list_modelsEsplora oltre 300 modelli di IA disponibili.
atlas_quick_generateCreazione di contenuti in un solo passaggio con selezione automatica del modello.
atlas_upload_mediaCarica file locali per i flussi di lavoro API.
Scopri di più
API Schema
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Log InByteDance Seedance Pro I2V 1080p
ByteDance Seedance Pro I2V 1080p is a revolutionary AI image-to-video generation model developed by ByteDance, now exclusively available on WaveSpeedAI as a global premiere launch. This cutting-edge model transforms static images into dynamic 5-second videos at 1080p resolution with lightning-fast processing speed, offering high-quality visual outputs with enhanced motion and semantic understanding. Part of the Dreamina model family, this SOTA-level model delivers unprecedented performance in image-to-video synthesis.
Key Features
- Ultra-Fast Video Generation: Lightning-speed processing creates 5-second videos at 1080p resolution with vivid details and smooth motion in seconds, not minutes.
- SOTA Motion Rendering: State-of-the-art dynamic rendering techniques create natural and realistic movements that bring images to life.
- Advanced Semantic Understanding: Industry-leading AI excels in interpreting complex user prompts to generate coherent and dynamic scenes with professional quality.
- Realistic Physical Simulation: SOTA physics engine simulates realistic physical properties and movements for lifelike video generation.
- Blazing-Fast Processing: Optimized for maximum speed efficiency, allowing instant creation of high-quality videos for real-time workflows.
- Flexible Parameter Control: Customizable settings offer duration and style adjustments for complete creative control.
- Professional Quality Output: SOTA image-to-video technology ensures broadcast-ready results with smooth temporal consistency.
- Instant Creative Enhancement: Transform ordinary photos into engaging, dynamic content perfect for social media marketing in seconds.
Global Premiere
- Exclusive Launch: WaveSpeedAI is the first platform globally to offer ByteDance's latest I2V technology from the Dreamina series.
- Cutting-Edge Access: Be among the first worldwide to experience SOTA image-to-video generation capabilities.
- Premium Integration: Seamless API access to ByteDance's most advanced video synthesis technology.
- Pioneer Advantage: Early access to breakthrough AI technology before wider market availability.
Technical Excellence & Speed Optimization
- SOTA Architecture: Built on breakthrough research delivering state-of-the-art image-to-video generation performance.
- Optimized Processing: Native ByteDance technology delivers superior generation speed compared to standard I2V solutions.
- Real-Time Processing: Ultra-fast video synthesis enables immediate creative workflows and instant content creation.
- High-Performance Computing: Enterprise-grade infrastructure supports rapid, high-volume video generation at scale.
Perfect for Fast-Paced Creative Work
- Content Creators: Instantly transform static photography into engaging video content for social platforms with lightning-fast speed.
- Marketing Professionals: Create dynamic promotional materials from product images in seconds, not hours.
- Social Media Managers: Convert photos into shareable, dynamic content that captures attention with lightning-fast turnaround.
- E-commerce Teams: Bring product photos to life with subtle motion effects using SOTA I2V technology.
- Digital Agencies: Deliver client projects faster with instant video generation capabilities from the Dreamina model family.
Performance & Speed Advantages
- Instant Results: Generate professional videos in seconds with SOTA processing speed.
- Real-Time Workflow: Advanced AI enables immediate creative iteration and rapid content production.
- Scalable Speed: Handle multiple image-to-video conversions simultaneously without performance degradation.
- Optimized Efficiency: Advanced algorithms maximize speed while maintaining SOTA quality standards.
Limitations
- Creative Focus: Designed primarily for creative video synthesis; not intended for generating factually accurate content.
- Inherent Biases: Outputs may reflect biases present in the training data, typical of current SOTA models.
- Input Sensitivity: The quality and consistency of generated videos depend significantly on the quality of the input image; subtle variations may lead to output variability.
- Resolution Limitation: This model is optimized for 480p video generation and does not support higher resolutions.
- Speed vs Quality Trade-off: While optimized for speed, extremely complex scenes may require additional processing time.
Out-of-Scope Use
The model and its derivatives may not be used in any way that violates applicable national, federal, state, local, or international law or regulation, including but not limited to:
- Exploiting, harming, or attempting to exploit or harm minors, including solicitation, creation, acquisition, or dissemination of child exploitative content.
- Generating or disseminating verifiably false information with the intent to harm others.
- Creating or distributing personal identifiable information that could be used to harm an individual.
- Harassing, abusing, threatening, stalking, or bullying individuals or groups.
- Producing non-consensual nudity or illegal pornographic content.
- Making fully automated decisions that adversely affect an individual's legal rights or create binding obligations.
- Facilitating large-scale disinformation campaigns.
