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Dreamina Creative Upscale
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 — image super-resolution model from ByteDance for enhancing AI-generated and low-quality images with high-fidelity 2K and 4K output.
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.
Technical Specifications
Performance Benchmarks
- Upscales images to 2K or 4K output resolution.
- Accepts input images up to 4096×4096 px and 4.7 MB.
- Supports JPEG and PNG input formats.
- Optimized for AIGC content: preserves generative art textures and fine detail.
- Handles low-quality source images with meaningful detail reconstruction.
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.
Pricing
- $0.0403 / image
Core Features & Capabilities
- 2K Upscaling: Enhances image resolution to 2K output with detail preservation.
- 4K Upscaling: Produces cinema-quality 4K output from low-resolution sources.
- AIGC Optimization: Specifically tuned for AI-generated images — maintains stylistic coherence and fine textures.
- Detail Generation Control: Adjustable scale parameter (0–100) controls the degree of generated detail.
- Flexible Output Format: Returns result as a hosted URL or base64-encoded image (b64_json).
- Single-Image Processing: Processes one image per request for predictable quality output.
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.
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.
Technical Specifications
Performance Benchmarks
- Upscales images to 2K or 4K output resolution.
- Accepts input images up to 4096×4096 px and 4.7 MB.
- Supports JPEG and PNG input formats.
- Optimized for AIGC content: preserves generative art textures and fine detail.
- Handles low-quality source images with meaningful detail reconstruction.
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.
Pricing
- $0.0403 / image
Core Features & Capabilities
- 2K Upscaling: Enhances image resolution to 2K output with detail preservation.
- 4K Upscaling: Produces cinema-quality 4K output from low-resolution sources.
- AIGC Optimization: Specifically tuned for AI-generated images — maintains stylistic coherence and fine textures.
- Detail Generation Control: Adjustable scale parameter (0–100) controls the degree of generated detail.
- Flexible Output Format: Returns result as a hosted URL or base64-encoded image (b64_json).
- Single-Image Processing: Processes one image per request for predictable quality output.
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.
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