This adds an opt-in sampler preview system that streams animated frames through a docked panel, saves finished previews to output/live_previews, and includes an automatic taeltx fallback for LTX 2.3. It also updates the schema dump for newer ComfyUI cores, wires the shared live preview hooks into startup, and switches the project docs/license metadata to GPL-3.0.
Core ComfyUI's memory handling has improved enough that GGUF is no longer a
default need, so the five Smart loader nodes (UNET + CLIP/Dual/Triple/Quad)
move to the standalone Smart-Model-Loaders-MXD pack.
67 -> 62 nodes. Schema re-baselined intentionally.
Side effect worth noting: those nodes carried the pack's only pip dependencies
(gguf, sentencepiece, protobuf), so requirements.txt is deleted. ComfyUI-MaxedOut
now installs with nothing beyond what ComfyUI itself ships.
Version 2.0.0 -> 3.0.0. Major, because this release removes 15 nodes in total
and any workflow using one will show it as missing.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
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.
Introduce a new CharacterPrompts extension: adds node implementations (Character Create, Character Edit/Delete, Character Prompt Encode) with storage, resolver, and README. Adds persistent character library storage (default/ComfyUI-CharacterPrompts-MXD/characters.json), server route (/mxd/characters/list), and a web UI integration (mxd_character_prompts.js + import) to refresh/pick characters in the graph. Update root __init__ to register the new module. Also remove the Grow Blur Mask MXD node from maxedoutnodes, and bump package version to 1.9.0 in pyproject.toml.
Add free workflow assets and update README to link and showcase them. Embedded SDXL and Flux free workflow links and images (assets/sdxlfree.png, assets/fluxfree.png) in README.md. Bump package version in pyproject.toml from 1.8.7 to 1.8.8.
Revise README to clarify project mission and add an Overview section, ComfyUI Manager install instructions, and refined node descriptions (Lora Loader, Image/Video Comparer, Video Comparer, empty-latent presets, WAN 2.2 helpers). Rework Credits/acknowledgements and other wording for clarity. Also bump package version in pyproject.toml from 1.8.6 to 1.8.7.
Bump package version to 1.8.5 and ensure each image comparer node gets its own override class. Added NODE_OVERRIDE_CLASSES map and changed MxdImageComparer.setUp to create/cache a per-node class (by nodeData.name), assign nodeData to it, and register that bound class—preventing static nodeData from being overwritten when multiple comparer nodes are registered.
Strip stray BOM/hidden characters from multiple Python and web source files to normalize file encoding and avoid lint/parse issues. Also bump package version from 1.8.2 to 1.8.3 in pyproject.toml. No functional code changes were made.
Add video handling and prep utilities across nodes and UI.
- mediacomparers.py: add MxdVideoComparer (saves previews, shows A/B videos) and import folder_paths/os/time; register the new node and display name.
- wan22nodes.py: refactor WAN 2.2 scaling with _wan22_pick_bucket and _wan22_scale_image_core, add _select_frames_start_end, expose faster passthrough for scale(), add video prep nodes (WAN22_I2V_Video_Prep_MXD and advanced variant) that scale videos and return start/end/selected frames, improve CombineVideos_MXD audio handling to support multiple audio payload shapes and batching, and mark PreviewVideoMXD as an output node; register new nodes and display names.
- Add new node file wan_svi_first_last_mxd.py: WAN 2.2 First/Last I2V SVI node that prepares SVI conditioning (anchors, padding, masks) and returns latent samples.
- __init__.py: include wan_svi_first_last_mxd in dynamic imports so new node is discovered.
- web/js/image_comparer.js: extend UI to support video/media (playback, sizing, URL builder, mixed image/video lists) and update widget rendering logic for media types.
- pyproject.toml: bump package version to 1.8.1.
These changes add end-to-end video support (preview, compare, prep for WAN 2.2 workflows), improve robustness of audio concatenation, and introduce an SVI-first/last conditioning node for WAN pipelines.
Add integrated Lora Loader MXD support and frontend. Introduces a new loraloader_mxd package (constants, logging, power node, prompt utils, server API routes, model info utils, server helpers, general utils, and userdata migration/IO). Adds many web frontend files for the MXD UI and registers the node in the top-level __init__.py. Updates README with merge/migration notes and adds userdata/ to .gitignore. Also includes minor comment/tuning change in maxedoutnodes.py and small updates to existing web/index.js and project metadata.
Wrap direct comfy_api imports in try/except and introduce HAVE_COMFY_API flags so the package can load without comfy_api present. Update __init__.py to dynamically and safely import node modules and merge NODE_CLASS_MAPPINGS / NODE_DISPLAY_NAME_MAPPINGS. Conditionally define and register nodes that depend on comfy_api (Qwen image-edit nodes, WAN 2.2 video nodes, Combine/Load/Save/Preview video nodes) so they are only available when comfy_api is present. Add helper to auto-add " MXD" aliases for node names and to merge display mappings. Bump package version to 1.6.9 and add diagnostic prints when comfy_api imports fail.
Introduce a new Grow Blur Mask MXD node that expands/contracts a mask and blurs only the expanded ring while keeping the core solid. The node normalizes mask inputs (supports HxW or BxHxW), handles positive grow_blur by dilating and blurring the ring (Gaussian blur via PIL.ImageFilter) and negative values by eroding. Implementation uses torch.nn.functional for morphological ops and processes blur on CPU per-batch item, clamping outputs to [0,1]. Also update NODE_CLASS_MAPPINGS and NODE_DISPLAY_NAME_MAPPINGS to register the new node, and bump package metadata in pyproject.toml (name capitalized to "MaxedOut" and version -> 1.6.8). Files changed: maxedoutnodes.py, pyproject.toml.
Replace portrait resolution presets with standard 3:2 landscape variants in maxedoutnodes.py (add 1536x1024 and 1216x832; remove corresponding portrait entries). Bump package version in pyproject.toml from 1.6.6 to 1.6.7.
Introduced DummyNodeMXD for workflow missing-node testing in maxedoutnodes.py. Added a new web addon 'zip_loader' with JSZip and loader scripts to support zip file handling in the web interface. Bumped project version to 1.6.6 in pyproject.toml.
Updated image_comparer.js to avoid saving preview image paths when serializing the workflow, ensuring that no unnecessary image data is stored. Bumped project version to 1.6.4 in pyproject.toml.
Introduced the GetLatentSizeMXD node to retrieve image width and height from a latent input. Updated NODE_CLASS_MAPPINGS and NODE_DISPLAY_NAME_MAPPINGS to register the new node. Bumped version to 1.6.3 in pyproject.toml.
Eliminates the conditional import and mapping updates for test nodes in __init__.py, simplifying the initialization logic. Bumps package version to 1.6.1 in pyproject.toml.
Introduces the QwenImageEditSingleMXD node for single-image editing with prompt and optional image input, supporting reference latents and VAE encoding. Updates node mappings and display names accordingly. Bumps project version to 1.5.1.
Introduces mediacomparers.py with an Image Comparer + Save MXD node, updates __init__.py to register new node mappings, and adds a frontend widget (image_comparer.js) for image comparison. Refactors and shortens DESCRIPTION strings for clarity across maxedoutnodes.py and wan22nodes.py, adds a ControlNet Preprocessor Selector node, and updates web/index.js to include the new comparer widget.
Introduces a new 'Save Only' mode to the SaveImage_MXD node, allowing images to be saved without displaying previews in the UI. Updates the mode selection tooltip for clarity. Bumps project version to 1.4.0.
Introduces the ZImageTurboEmptyLatentImage node for SD3-compatible latent generation with curated safe resolutions. Refactors SaveLatentMXD and SaveLatent_I2V_MXD to remove preview image logic and streamline latent/conditioning saving. Updates WAN22_I2V_Image_Scaler_MXD to add a 'Safe Auto' mode for robust video-extend workflows, improves bucket selection, and enhances error handling for unsupported resolutions. Also updates display names and increments the package version to 1.3.0.
Refactored latent loading to safely import enums and improved parameter extraction logic. Enhanced WAN 2.2 image scaler with video bucket validation, passthrough for exact buckets, and early error for unsupported resolutions. Updated Frames_Select_StartEnd_MXD to support offset selection and improved frame clamping.
Introduces a video-only loader node with auto-refresh, a PreviewVideoMXD node for displaying videos in the preview panel, and refactors frame selection to support both start and end modes. Updates image scaler logic for smarter bucket selection, improves latent loading with conditioning outputs, and makes various naming and usability enhancements throughout the video workflow nodes. Also bumps the maxedout package version to 1.2.0.
Replaces WanImageToVideoMXD with Wan22ImageToVideoMXD using new schema and execution methods, and adds Wan22FirstLastImageToVideoMXD node. Updates pyproject.toml version to 1.1.2. Adjusts scaler defaults and cleans up redundant code for improved maintainability and node registration.
Maxed-Out-99