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LoganBooker / SesquiLSR

Arbitrary scale latent upscaler for SDXL, Flux, Flux2, and Wan 2.1/Anima/Qwen Image. Supports fractional scaling up to 2.0x. Includes ComfyUI node and pretrained weights.

Why this job: says: comfyui; topics: stable-diffusion, comfyui

Flux2 quality comparison 2.0x

What it does

  • Multi-model support. SDXL, Flux, Z-Image Turbo, Flux2 Klein, Krea 2, Wan 2.1, Qwen Image and Anima from a single architecture
  • Arbitrary scale in [1.0x, 2.0x]. not limited to fixed 2x
  • ~3M parameters, ~12MB weights across all variants
  • Sub-6ms inference in latent space, with no VAE round-trip
  • ComfyUI node included. drop-in, no model or VAE connection required

Get started

No single install command. Read the steps in the README (opens in new tab)

Maintenance
Active
Last commit 35 days ago
Stars
117
+2 this week
Licence
MIT
Allows business use
Downloads for
None listed
No release files
Latest version
None yet
No releases
Built with
Python
100% of the code

Is it looked after?

Contributors
1
Last 90 days
Issues
57% closed
3 still open
Pull requests
0 merged
0 waiting
Releases
None
Never published
  • No contributing guide
  • No security policy
  • No code of conduct

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More: languages, topics and project record

Languages

  • Python 100%

Topics

  • comfyui
  • latent-diffusion
  • latent-space
  • stable-diffusion
  • super-resolution
  • upscaler
  • upscaling

Project record

  • JobImage generation
  • StatusListed
  • Commits16
  • Forks7
  • Watching1
  • Stars in 28 days+10
  • CreatedJun 10, 2026
  • First seen by usNov 7, 2026
  • CheckedNov 7, 2026

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