From 3dc9464a5dfe4dbf0d78ecba76124cd15bcf9c1c Mon Sep 17 00:00:00 2001 From: JasonHoku Date: Sun, 15 Feb 2026 00:47:32 -0800 Subject: [PATCH] Implement ggufs, diffusion checkpoints, vaes, seed behavior & more! --- Roadmap.md | 9 +++++++++ pyproject.toml | 2 +- 2 files changed, 10 insertions(+), 1 deletion(-) diff --git a/Roadmap.md b/Roadmap.md index a4646b2..55a564e 100644 --- a/Roadmap.md +++ b/Roadmap.md @@ -46,6 +46,15 @@ Check Roadmap.md for some tasks and do them. don't do any marked as (low priorit ## Bug Fix: Batch Encoding Runs Before Job Skip/Continue/Resume check and will encode everything again even if it's already been completed. Also Continue/Resume Should NOT run by default if optional inputs are connected because changes to the optional inputs are not currently being tracked. We need to track connected node changes from each of the optional inputs, we could also use this step to save the workflow to the benchmark/session folder and compare the last run workflow to the current to track node changes and determine changes and also integrate currenly missing from optional inputs such as model, loras, prompts, etc. + +# Needs Testing: Batch encoding doesnt seem to be working for optional inputs possibly, or maybe its very large models, I get loading messages after every single encoding instead of once per batch and it takes a long time (low priority) +Symptom: each encoding fills the GPU more and more and eventually it becomes 0 usable, 0 loaded all offloaded. +loaded partially; 5585.34 MB usable, 5543.55 MB loaded, 628.32 MB offloaded, 41.79 MB buffer reserved, lowvram patches: 0 +loaded partially; 5569.51 MB usable, 5527.72 MB loaded, 644.90 MB offloaded, 41.79 MB buffer reserved, lowvram patches: 0 +loaded partially; 5553.58 MB usable, 5511.79 MB loaded, 660.34 MB offloaded, 41.79 MB buffer reserved, lowvram patches: 0 +loaded partially; 5537.65 MB usable, 5495.86 MB loaded, 676.40 MB offloaded, 41.79 MB buffer reserved, lowvram patches: 0 +maybe we need to force encodings to offload to ram? + ## ~~Fix: Manifest doesn't need lora omit triggers list in every item~~ (DONE - already stripped in create_image_metadata via .pop()) ## Add attention options, xformers, sdpa, sage, flash, etc, option for test all, test all should clear ram & vram between each test. diff --git a/pyproject.toml b/pyproject.toml index 16579d5..ca28255 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,7 +1,7 @@ [project] name = "ultimate-auto-sampler-config-grid-testing-suite" description = "Test Everything All In One Run!!! Testing & benchmarking tool for samplers, schedulers, CFG scales, multiple prompts, img2img denoise values, Models, Weights, LoRA and more! Features infinite-canvas dashboard image grids with virtual scrolling that can handle thousands of images! Smart caching, powerful sorting, filters, favoriting, reviewing, automatic resume on interrupt, and real-time visualization. Test entire checkpoint folders, stack multiple LoRAs, generate random seed variations, and export optimized configs, save sessions. Includes powerful UI for building AIO comparison runs, fullscreen mode, keyboard navigation, smart filtering by parameters, civitai model data info, and one-click regeneration workflow, and SO MUCH MORE. Perfect for sampler output optimization and parameter tuning." -version = "1.9.3" +version = "1.10.0" license = {file = "LICENSE"} classifiers = [ # # For OS-independent nodes (works on all operating systems)