Dreamina Creative Upscale overview
Dreamina Creative Upscale by ByteDance
Upscales AIGC and low-resolution images up to 4K while preserving fine details and visual quality. Supports JPEG and PNG input up to 4096×4096 px.
Dreamina Creative Upscale specs
- Model ID
bytedance/dreamina-creative-upscale- Developer
- ByteDance
- Input
- Text
- Output
- Image
- Endpoint
POST https://api.aimlapi.com/v1/images/generations
Dreamina Creative Upscale is ByteDance's dedicated image super-resolution model, designed specifically to enhance AI-generated content (AIGC) and low-quality photos. Built on BytePlus Vision AI infrastructure, it applies creative upscaling to produce high-fidelity 2K and 4K outputs with preserved textures, sharp edges, and rich detail, making it suitable for content creation pipelines, digital media production, and image restoration workflows.
Architecture Breakdown
Dreamina Creative Upscale uses a deep generative super-resolution architecture tuned specifically for AI-generated imagery. Unlike traditional upscaling methods, it applies learned priors about visual structure and texture patterns to reconstruct high-frequency detail that is absent in the source image, rather than simply interpolating pixels.
Comparison with Other Models
- VS Standard Bicubic/Lanczos Upscaling: Dreamina Creative Upscale generates plausible detail via learned priors rather than interpolating existing pixels, producing visually sharper and more realistic results.
- VS General Super-Resolution Models: Optimized specifically for AIGC content, delivering better texture fidelity on synthetic images compared to models trained primarily on photographic data.
Use cases
AI-generated images that need higher-resolution finishing: the model is documented as an image super-resolution tool that enhances AI-generated images and supports 2K and 4K output.
Low-resolution images that need detail enhancement: it is documented as enhancing low-resolution images, with creative detail generation during upscaling.
Images that need a polished upscale for production output: the documentation describes it as useful for standard upscaling to 2K and ultra-high-definition output to 4K.
Dreamina Creative Upscale API pricing
| Usage | Price | Unit |
|---|---|---|
| Image generation | $0.031 | per generation |
Prices from the AI/ML API price list, checked on Nov 4, 2026.
Dreamina Creative Upscale vs other image models: prices
AI/ML API rates for 5 models, per generation.
| Model | Per generation |
|---|---|
 Dreamina Creative Upscale | $0.031 |
| Seedream 4.0 Image to Image | $0.03 |
| Seedream 5.0 Lite Preview | $0.035 |
| Seedream 4.5 | $0.04 |
| Seedream 5.0 Pro | $0.045 |
How to use the Dreamina Creative Upscale API
View docs
Build with your agent
Give your agent the model details, code and documentation.
1Get your API key
Create API keyexport AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"2Make your first request
curl 'https://api.aimlapi.com/v1/images/generations' \
-H "Authorization: Bearer $AIMLAPI_KEY" \
-H 'Content-Type: application/json' \
-d '{
"model": "bytedance/dreamina-creative-upscale",
"image_url": "https://example.com/input.jpg"
}'import os
import requests
headers = {
"Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
"Content-Type": "application/json",
}
payload = {
"model": "bytedance/dreamina-creative-upscale",
"image_url": "https://example.com/input.jpg"
}
response = requests.post("https://api.aimlapi.com/v1/images/generations", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())const response = await fetch("https://api.aimlapi.com/v1/images/generations", {
method: "POST",
headers: {
Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({
"model": "bytedance/dreamina-creative-upscale",
"image_url": "https://example.com/input.jpg"
}),
});
if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());Models similar to Dreamina Creative Upscale
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Dreamina Creative Upscale FAQ
What inputs and outputs does Dreamina Creative Upscale support?
Dreamina Creative Upscale takes image, text as input and returns image.
When was Dreamina Creative Upscale released?
Dreamina Creative Upscale became available on June 4, 2026.
How much does Dreamina Creative Upscale cost?
Dreamina Creative Upscale costs $0.031 per generation on AI/ML API, billed as you go with no subscription.
How is Dreamina Creative Upscale billed?
Dreamina Creative Upscale is billed per generation, a fixed charge per output rather than by prompt length.
Can Dreamina Creative Upscale take an existing image as input?
Yes, Dreamina Creative Upscale accepts image input as well as a text prompt.
Who created Dreamina Creative Upscale?
Dreamina Creative Upscale was built by ByteDance.
How do I call Dreamina Creative Upscale on AI/ML API?
Send a request to https://api.aimlapi.com/v1/images/generations with bytedance/dreamina-creative-upscale as the model id.
Is Dreamina Creative Upscale available through a single API key?
Yes. Dreamina Creative Upscale is served through AI/ML API, so the same key and endpoint format used for other models applies.
Can this model improve AI-generated images that look low quality?
Yes. Dreamina Creative Upscale enhances AIGC and low-quality images, enriching texture and detail while preserving structure.
What is the Dreamina Creative Upscale model ID?
Use bytedance/dreamina-creative-upscale as the model parameter. Requests go to https://api.aimlapi.com/v1/images/generations with your AI/ML API key.