Multiple MXD improvements and additions:
- loraloader_mxd/power_lora_loader_mxd.py: import comfy modules; add robust bool/float coercion helpers; safer parsing of LORA_* inputs; apply LoRA without CLIP when needed; better error reporting.
- maxedoutnodes.py: Add embed_workflow optional flag to SaveImage_MXD and filter extra PNG info when workflow embedding is disabled; add new Extract Workflow From Image MXD node to extract/save workflow JSON from image metadata; register/display name updates.
- pyproject.toml: bump package version 1.9.0 -> 1.9.1.
- wan22nodes.py: many improvements around latent file handling and prompt metadata:
- sort latent files newest-first and list latent subfolders by latest mtime.
- accept a hidden unique_id and attach source KSampler metadata to saved latents.
- introduce robust graph parsing utilities to find KSampler nodes, collect upstream links and extract params reliably (with meta fallbacks).
- use the new utilities across latent loading/saving nodes.
- add LTX Image Scaler MXD node for LTX Video workflow (32-aligned resizing/cropping and tier selection).
- remove wan_svi_first_last_mxd.py (deleted file).
- web/js/betterCombos.js: add MXD alias constants and node configs for new/updated latent nodes.
- web/js/image_comparer.js: change extension hooking to patch nodeType.prototype directly (avoids boundClass naming issue), add comparer_mode combo and ensure stored nodes keep correct title.
Overall: improves robustness of LoRA application, latent file discovery/metadata, prompt graph parsing for reproducible sampler params, adds an LTX scaler node and workflow extraction helper, and updates frontend wiring for these MXD features.
Maxed-Out-99
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