Realesrgan
App in the BluixApps catalog
What it is
Real-ESRGAN is the practical algorithm for general image and video upscaling — 2× and 4× super-resolution with a separate anime model variant. Used by Topaz Photo AI alternatives, web upscalers, and as the standard "post-process" tool in Stable Diffusion pipelines.
When you need a low-res image at 4K, Real-ESRGAN is the canonical open option.
What it's for
- Image super-resolution (2× or 4×)
- Photo restoration — enhance old / low-res images
- Video upscaling — frame-by-frame (slow but high quality)
- Anime / illustration upscaling — dedicated model variant
- Stable Diffusion post-process — generate at SD-native res, upscale to deliverable res
- Print preparation — web-res to print-quality
Who it's for
- Designers preparing low-res assets for high-res output
- Photographers restoring old/blurry images
- Game / VFX studios upscaling legacy assets
- Marketing teams enhancing low-res content for print
- AI art workflows as post-processing step
Why teams pick Real-ESRGAN over alternatives
- BSD-3-Clause — fully open
- Industry standard for AI upscaling
- Multiple model variants — general, anime, video
- Face enhance option — combine with GFPGAN for portrait work
- Active maintenance — frequent improvements
- Used in ComfyUI / A1111 — integration first-class
- Fast — 1-3 sec per 1080p → 4K on RTX 4090
Integrations
- Gradio web UI (BluixApps ships this)
- ComfyUI nodes — community wrappers
- A1111 Extras tab — built-in
- CLI mode for batch processing
- Pair with: GFPGAN (face restore) + Real-ESRGAN (background) = best portrait restoration
- Pair with: SDXL / Flux generate → Real-ESRGAN upscale workflow
Notable users & community
- 31k+ GitHub stars
- Used in countless image AI tools
- Industry standard for image upscaling
- Active community + commercial integrations
- Featured in major AI art tutorials
Tips & operations
- Model selection:
- RealESRGAN_x4plus: general purpose (photos, mixed)
- RealESRGAN_x4plus_anime_6B: anime / illustrations / line art
- RealESRGAN_x2plus: 2× upscale (lighter / faster)
- Scale: 2× or 4× (no benefit beyond 4× on most images)
- Face enhance: combine with GFPGAN for portraits with faces
- VRAM: 4 GB minimum (low-res), 8+ GB for high-res
- Speed: 1080p → 4K = ~3-5 sec on RTX 4090
- Batch via CLI for large libraries
- Best inputs: artifacts present (compression, blur) — Real-ESRGAN learned to remove them
- Production: API mode via Gradio for automation
What we ship in BluixApps
- Cloned
xinntao/Real-ESRGANrepo - pytorch CUDA 12.4 base + opencv dependencies
- Custom Gradio UI with model + scale selectors
- Persistent volumes: repo, models (~200 MB), input, output
- Port 7871 mapped
- Install report at
/root/bluixapps/realesrgan.txt - Model selection guide
- CLI batch examples
- Use case examples (photo enhance, AI art post-process)
- Pairing suggestions (GFPGAN for faces, SD for generation)
- GPU pre-flight check via
bluixapps_ensure_nvidia_runtime - Backup hook covers models + outputs
Get this app — pick a BluixApps plan
Same catalog. Scaling tenant isolation, white-label and support tier.
| Tier | Tenants | Catalog | Support | White-label | Monthly | |
|---|---|---|---|---|---|---|
| Stacks | 1 | 19 curated stacks | Standard | — | $19/mo | DetailDeploy |
| Starter | 10 | Full catalog | Standard | +$15–25/mo | $49/mo | DetailDeploy |
| Pro | 25 | Full catalog | Priority bugfix | +$15–25/mo | $149/mo | DetailDeploy |
| Growth | 100 | Full catalog | Priority bugfix | +$15–25/mo | $349/mo | DetailDeploy |
| Scale | 500 | Full catalog | 7-day window | +$15–25/mo | $799/mo | DetailDeploy |
| Enterprise | Unlimited | Full catalog | Priority 7-day | Bundled | $1,499/mo | DetailDeploy |
