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Professional-grade image upscaler from Topaz Labs offering five specialized models (Standard, Low Resolution, CGI, High Fidelity, Text Refine) with optional face enhancement
Details
topaz-image-upscale
Providers & Pricing (2)
Output
Pricing Notes (2)
- • Tiered pricing based on output image megapixels.
- • Up to 24 MP: $0.08, up to 48 MP: $0.16, up to 96 MP: $0.32, up to 512 MP: $1.36
Output
Pricing Notes (2)
- • Tiered pricing based on output image megapixels.
- • Up to 24 MP: $0.05, up to 48 MP: $0.10, up to 60 MP: $0.15, up to 96 MP: $0.20, up to 132 MP: $0.24, up to 168 MP: $0.29, up to 336 MP: $0.53, up to 512 MP: $0.82
topaz-image API OpenAI-compatible
https://api.lumenfall.ai/openai/v1
topaz-image-upscale
Code Examples
Upscale
/v1/images/editscurl -X POST \
https://api.lumenfall.ai/openai/v1/images/edits \
-H "Authorization: Bearer $LUMENFALL_API_KEY" \
-F "model=topaz-image-upscale" \
-F "[email protected]" \
-F "prompt=Add a starry night sky to this image" \
-F "size=1024x1024"
# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }
import OpenAI from 'openai';
import fs from 'fs';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.lumenfall.ai/openai/v1'
});
const response = await client.images.edit({
model: 'topaz-image-upscale',
image: fs.createReadStream('source.png'),
prompt: 'Add a starry night sky to this image',
size: '1024x1024'
});
// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
console.log(response.data[0].url);
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.lumenfall.ai/openai/v1"
)
response = client.images.edit(
model="topaz-image-upscale",
image=open("source.png", "rb"),
prompt="Add a starry night sky to this image",
size="1024x1024"
)
# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)
Parameter Normalization
How we handle parameters across different providers
Not every provider speaks the same language. When you send a parameter, we handle it in one of four ways depending on what the model supports:
| Behavior | What happens | Example |
|---|---|---|
passthrough |
Sent as-is to the provider | style, quality |
renamed |
Same value, mapped to the field name the provider expects | prompt |
converted |
Transformed to the provider's native format | size |
emulated |
Works even if the provider has no concept of it | n, response_format |
Parameters we don't recognize pass straight through to the upstream API, so provider-specific options still work.
Topaz Image Upscale Benchmarks
Topaz Image Upscale is ranked #3 in Image Upscaling with an Elo of 1106 on the Lumenfall Arena, where real users pick the better image in blind comparisons. These rankings are based on 1 blind-vote competition.
Image Upscaling Landscape
Elo vs Cost
Elo vs Speed
Speed data is still warming up
We only have enough recent requests for Crystal Upscaler (41.4s average).
Competition Results
Uncategorized
Top Matchups
See how Topaz Image Upscale performs head-to-head against other AI models, ranked by community votes in blind comparisons.
Gallery
View all 1 imagesTopaz Image Upscale FAQ
How do I use Topaz Image Upscale via API?
You can use Topaz Image Upscale through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "topaz-image-upscale". Code examples are available in Python, JavaScript, and cURL.
Which providers offer Topaz Image Upscale?
Topaz Image Upscale is available through Replicate and fal.ai on Lumenfall. Lumenfall automatically routes requests to the best available provider.
Try Topaz Image Upscale in Playground
Generate images with custom prompts — no API key needed.