Highlights for 2024-10-23

A month later and with nearly 300 commits, here is the latest SD.Next update!

Workflow highlights

  • Reprocess: New workflow options that allow you to generate at lower quality and then
    reprocess at higher quality for select images only or generate without hires/refine and then reprocess with hires/refine
    and you can pick any previous latent from auto-captured history!
  • Detailer Fully built-in detailer workflow with support for all standard models
  • Built-in model analyzer
    See all details of your currently loaded model, including components, parameter count, layer count, etc.
  • Extract LoRA: load any LoRA(s) and play with generate as usual
    and once you like the results simply extract combined LoRA for future use!

New models

What else?

  • Tons of work on dynamic quantization that can be applied on-the-fly during model load to any model type (you do not need to use pre-quantized models)
    Supported quantization engines include BitsAndBytes, TorchAO, Optimum.quanto, NNCF compression, and more…
  • Auto-detection of best available device/dtype settings for your platform and GPU reduces neeed for manual configuration
    Note: This is a breaking change to default settings and its recommended to check your preferred settings after upgrade
  • Full rewrite of sampler options, not far more streamlined with tons of new options to tweak scheduler behavior
  • Improved LoRA detection and handling for all supported models
  • Several of Flux.1 optimizations and new quantization types

Oh, and we’ve compiled a full table with list of top-30 (how many have you tried?) popular text-to-image generative models,
their respective parameters and architecture overview: Models Overview

And there are also other goodies like multiple XYZ grid improvements, additional Flux ControlNets, additional Interrogate models, better LoRA tags support, and more…
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