Stop guessing which Sampler, Scheduler, Prompt, Denoise, Model, Lora or CFG value works best. This custom node suite allows you to generate massive Cartesian product grids, view them in an interactive infinite-canvas dashboard, and refine your settings with a "Revise & Generate" workflow without ever leaving the interface.

🌟 Key Features

🚀 Powerful Grid Generation

Cartesian Product Engine: Automatically generates every permutation of your input settings. Test unlimited Samplers, Schedulers, CFG scales, Sizes, Prompts, LoRA combinations all in one go.
Non-Standard Model Support: Full support for SD3, Flux, Z-Image, and other non-standard architectures with automatic latent channel detection.
Multi-Model Support: Test multiple checkpoints in a single run by passing an array of model names or folder paths.
Model Folder Expansion: Use "model": "FolderName/" to test all checkpoints in a folder automatically - perfect for comparing different versions or architectures.
CLIP Skip Support: Control which CLIP layer to use for text encoding with the clip_skip parameter - essential for anime models (typically -2) vs realistic models (typically 0).
Intelligent CLIP Encoding: Automatically detects when multiple models are used and handles CLIP encoding correctly per-model to ensure accurate results.
Batch Encoding on Model Switch: When switching between models, all prompts are batch-encoded at once rather than per-generation, resulting in 3-6x faster encoding for multi-model workflows.
Multi-LoRA Stacking: Layer multiple LoRAs with custom strengths using the + separator. Supports folder expansion for testing entire LoRA directories.
LoRA Trigger Word Filtering: Use lora_omit_triggers to exclude specific trigger words from auto-appended LoRA triggers, giving you fine control over prompts.
Random LoRA Selection: Randomly select LoRAs from folders with [count,strength] or [count,strength,random] syntax. Supports both reproducible (seed-based) and truly random selection modes.
Auto LoRA Trigger Words: Automatically fetches and appends LoRA trigger words from CivitAI API using SHA256 hash lookup. Results are cached locally for offline use.
Multi-Seed Generation: Add extra random variations per config with the add_random_seeds_to_gens parameter - perfect for evaluating consistency.
Smart Caching: Intelligently skips model and LoRA reloading when consecutive runs share the same resources, making generation instant for parameter tweaks.
Stop & Resume: Intelligent skip detection - if you stop a generation mid-run, resuming will skip already-generated images and continue where you left off.
Advanced Skip Logic: Uses conditioning tensor hashing to detect prompt changes even when using pre-encoded conditioning from CLIP nodes.
LoRA Compatibility Detection: Automatically detects and skips incompatible LoRAs with detailed error reporting, preventing log spam.
Graceful Interruption: Cancel button now stops ALL remaining jobs (not just current generation) and saves all completed work including pending remote VAE decodes.
VAE Batching: Includes a vae_batch_size input to batch decode images, significantly speeding up large grid runs.
Live Dashboard Updates: Configure flush_batch_every to update the dashboard incrementally (e.g., every 4 images) instead of waiting for the entire batch to complete.
Remote VAE Support: Offload VAE decoding to remote servers (HuggingFace endpoints or local) for 20-30% faster generation and lower VRAM usage.

🎨 Interactive Dashboard (The "IDE")

Infinite Canvas with Pan/Zoom: Google Maps-style navigation with mouse drag, mousewheel zoom, and keyboard shortcuts.
Virtual Scrolling: Ultra-optimized rendering handles thousands of images smoothly by only loading visible items - scroll through 5000+ images without lag.
Mobile Touch Support: Full pinch-to-zoom and pan gestures on mobile devices with optimized touch controls.
Fullscreen Mode: Click the fullscreen button (⛶) to expand the dashboard to fill your entire screen.
Favorites System: Star your best images with a ⭐ button - favorites are collected in a separate gold JSON bar for easy export.
Smart Filtering: Toggle visibility by Model, Sampler, Scheduler, Denoise, or LoRA type.
- Shift+Click: Isolate a single filter (deselect all others) for quick A/B testing
Intelligent Sorting: Instantly sort your grid by Oldest, Newest, or Fastest (generation time). Your preference is saved to localStorage.
Go to Image #: Jump directly to any image number with the "Go to #" input field in the header.
Auto-Load Sessions: Dashboard automatically loads when generation starts - no manual session name entry needed.
Session Management: Save and Load previous testing sessions directly from the UI.
Keyboard Navigation:
- Space - Pan down one row
- Shift+Space - Pan up one row
- Arrow Keys - Pan in any direction
- +/- - Zoom in/out
- 0 - Reset zoom to 1:1
- F - Auto-fit first row to viewport width

⚡ The "Revise & Generate" Workflow

One-Click Revision: Click "REVISE" on any image to open a detail view.
Complete Metadata View: Shows model, seed, prompts (with trigger words), and all generation parameters.
Instant Tweak: Adjust CFG, Steps, or Sampler for just that specific image.
Generate New: A "GENERATE NEW" button queues the new variation immediately without needing to disconnect wires or change the main batch.
Similarity Reel: The revision modal shows a side-scrolling reel of all other images that share the same seed, allowing for perfect A/B comparison.
Multiple Prompts: Use an array to run multiple prompts in one run without re-running your entire workflow: ["picture of a forest", "mountains at night", "masterpiece, painting of dog"]

🧹 Curation & JSON Export

Rejection System: Click the red "✕" on bad generations to hide them.
Triple JSON Bars (Horizontal Layout):
- Green Bar (Left): Automatically groups all accepted configs into a clean, optimized JSON array ready for copy-pasting.
- Gold Bar (Center): Contains all favorited configs - your best-performing settings.
- Red Bar (Right): Collects all rejected configs so you know exactly what settings to avoid.

📦 Installation

Navigate to your ComfyUI custom_nodes directory:
```
cd ComfyUI/custom_nodes/
```

Clone this repository:

git clone https://github.com/YOUR_USERNAME/ComfyUI-Ultimate-Auto-Sampler-Config-Grid-Testing-Suite.git

Restart ComfyUI.

🛠️ Usage Guide

1. The Nodes

This suite consists of two main nodes found under the sampling/testing category:

Ultimate Sampler Grid (Generator): The engine. It handles model loading, grid generation, and saving.
Ultimate Grid Dashboard (Viewer): The display. It renders the HTML output.

Basic Setup:

Add the Generator node.
Connect your Checkpoint, CLIP, and VAE (optional, see "Hybrid Inputs" below).
Add the Viewer node.
Connect the dashboard_html output from the Generator to the input of the Viewer.

2. Generator Node Parameters

Core Settings

ckpt_name: Default checkpoint to use (can be overridden by model in JSON or optional input).
positive_text / negative_text: Prompts. Supports arrays: ["prompt 1", "prompt 2"] or JSON arrays.
seed: Base seed. Each config uses this seed unless overridden.
denoise: Denoise strength(s). Supports single value, array, or comma-separated: "1.0" or "0.8, 0.9, 1.0".

Performance Settings

vae_batch_size: How many images to decode at once.
- 4 (default): Good for 8-12GB VRAM
- 12-24: For 24GB+ VRAM
- -1: Decode all images at once (fastest, but risky)
flush_batch_every: Update dashboard every X images (0 = use VAE batch size).
- 0: Wait until VAE batch is full
- 4: Update dashboard every 4 images (recommended for live monitoring)

Advanced Settings

overwrite_existing:
- False (default): Skip already-generated images (resume mode)
- True: Re-generate everything
add_random_seeds_to_gens: Generate X extra random variations per config.
- 0 (default): Only use base seed
- 3: Generate 3 additional random seed variations per config
- Random seeds are deterministic per base seed - changing base seed generates new random variations
lookup_and_append_lora_triggerwords: Automatically fetch and append LoRA trigger words.
- False (default): Use prompts as-is
- True: Calculate SHA256 hash of each LoRA, query CivitAI API for trigger words, cache results locally, and prepend to prompts
- Example: LoRA has trigger word "character_name" → Prompt becomes "character_name, your original prompt"
- Cache stored in loras_tags.json for offline use
session_name: Folder name where results are saved (ComfyUI/output/benchmarks/{session_name}/).

3. The JSON Configuration

The configs_json widget determines your grid. It accepts an array of objects. All fields support single values or arrays.

Basic Example:

[
  {
    "sampler": ["euler", "dpmpp_2m"],
    "scheduler": ["normal", "karras"],
    "steps": [20, 30],
    "cfg": [7.0, 8.0]
  }
]

Generates 16 images (2 samplers × 2 schedulers × 2 steps × 2 cfg)

Advanced Features:

Multi-Model Testing

[
  {
    "sampler": "euler",
    "scheduler": "normal", 
    "steps": 20,
    "cfg": 7.0,
    "model": [
      "sd_xl_base_1.0.safetensors",
      "juggernautXL_v9.safetensors",
      "ponyDiffusionV6XL_v6.safetensors"
    ]
  }
]

Tests 3 different models with the same settings

Folder Expansion

[
  {
    "sampler": "euler",
    "scheduler": "normal",
    "steps": 20, 
    "cfg": 7.0,
    "model": "sdxl_models/"  // Tests ALL models in this folder
  }
]

Multi-LoRA with Stacking

[
  {
    "sampler": "euler",
    "scheduler": "normal",
    "steps": 20,
    "cfg": 7.0,
    "lora": [
      "None",
      "style_lora.safetensors:0.8:1.0",
      "style_lora.safetensors:0.5:1.0 + detail_lora.safetensors:1.0:1.0",
      "loras_folder/"  // Tests ALL loras in folder
    ]
  }
]

LoRA format: filename:strength_model:strength_clip
Stack with + separator: lora1:0.8:1.0 + lora2:1.0:1.0

Resolution Grid

// In resolutions_json input:
[
  [1024, 1024],
  [1024, 1536], 
  [1536, 1024]
]

Multiple Prompts

// In positive_text input (as JSON array):
[
  "a beautiful landscape, mountains, sunset",
  "cyberpunk city at night, neon lights",
  "portrait of a warrior, detailed armor"
]

4. Hybrid Inputs (Optional)

The Generator node features built-in widgets for Model Selection and Prompts, but also has Optional Inputs for flexibility:

Standalone Mode: Use the dropdown menu to select a checkpoint and type prompts into the text boxes.
Hybrid Mode: Connect a MODEL, CLIP, VAE, or CONDITIONING wire. The node will automatically ignore the internal widget and use the connected input instead.
Non-Standard Models: For SD3, Flux, Z-Image, and other architectures:
- Connect optional_model, optional_clip, and optional_vae from your model loader
- Connect optional_positive and optional_negative for pre-encoded conditioning
- The node automatically detects latent channel count (4 for SD1.5/SDXL, 16 for SD3/Flux/Z-Image)
- Skip detection uses conditioning tensor hashing to properly detect prompt changes
Latent Input: Connect a LATENT to use img2img or upscaling workflows.
- For SD3/Flux: Use EmptySD3LatentImage instead of EmptyLatentImage
- Latent dimensions are automatically preserved

🖥️ Dashboard Interface

Header Bar

Model/Prompt Info: Shows current model and prompt metadata
Go to Image #: Jump directly to any image by entering its number (shown in bottom-left of cards)
Column Count: Set fixed grid columns or leave at 0 for auto-sizing
Zoom Controls: ⊙ (reset), − (zoom out), + (zoom in)

Session Controls:
- Dashboard auto-loads when connected to sampler and generation starts
- SAVE to persist current state to disk
- DELETE to remove session and all images
Filter Groups: Click colored buttons to toggle visibility:
- Model (Purple): Filter by checkpoint
- Sampler (Cyan): Filter by sampler type
- Scheduler (Blue): Filter by scheduler
- Denoise (Red): Filter by denoise value
- LoRA (Orange): Filter by LoRA configs
- Shift+Click: Isolate single filter (deselect all others)
Sort Button: Cycles between:
- Sort: Oldest - Original generation order (default)
- Sort: Newest - Most recent first
- Sort: Fastest - By generation time
- Sort preference is saved to localStorage
Fullscreen Button (⛶): Expand dashboard to fill entire screen

Mouse:
- Left-click drag to pan
- Middle-click drag to pan
- Scroll wheel to zoom in/out
- Right-click on canvas to focus for keyboard controls
Touch (Mobile/Tablet):
- Single finger drag to pan
- Two finger pinch/spread to zoom
- Tap card to reveal buttons
Keyboard:
- Space - Scroll down one row
- Shift+Space - Scroll up one row
- ↑↓←→ - Pan in any direction
- +/- - Zoom in/out
- 0 - Reset zoom to 1:1
- F - Auto-fit first row to viewport width

Card Overlays

Bottom Left: Index number (#1, #2, etc.) - used for "Go to #" feature
Bottom Right: Generation time in seconds
Top Left (on hover): Red ✕ button to reject/hide image
Top Right (on hover):
- Gold ⭐ button to favorite image
- Green "REVISE" button (below star) to open studio view

JSON Bars (Bottom - Horizontal Layout)

Green Bar (Left - Accepted): Contains optimized JSON of all currently visible images. Click to select all, then copy-paste back into the configs_json widget to refine your batch.
Gold Bar (Center - Favorites): Contains configs of all images you starred with ⭐. Your best-performing settings in one place.
Red Bar (Right - Rejected): Contains the configs of images you deleted with the "✕" button. Know what to avoid.

Clicking REVISE on a card opens the studio view:

Left: Full-resolution preview.
Top Right - Read-Only Info:
- Model used
- Seed number
- Positive prompt (with trigger words if applicable)
- Negative prompt
Bottom Right - Adjustable Parameters:
- Sampler, Scheduler, Steps, CFG, Denoise, LoRA
Bottom: "Related Variants" reel showing other images with the same seed.
GENERATE NEW: Queues the specific config you just edited.

Session Controls:
- Type session name and click LOAD to view previous results
- SAVE to persist current state to disk
- DELETE to remove session and all images
Filter Groups: Click colored buttons to toggle visibility:
- Model (Purple): Filter by checkpoint
- Sampler (Cyan): Filter by sampler type
- Scheduler (Blue): Filter by scheduler
- Denoise (Red): Filter by denoise value
- LoRA (Orange): Filter by LoRA configs
Sort Button: Cycles between:
- Sort: Oldest - Original generation order (default)
- Sort: Newest - Most recent first
- Sort: Fastest - By generation time
- Sort preference is saved to localStorage
Fullscreen Button (⛶): Expand dashboard to fill entire screen

Mouse:
- Left-click drag to pan
- Middle-click drag to pan
- Scroll wheel to zoom in/out
- Right-click on canvas to focus for keyboard controls
Keyboard:
- Space - Scroll down one row
- Shift+Space - Scroll up one row
- ↑↓←→ - Pan in any direction
- +/- - Zoom in/out
- 0 - Reset zoom to 1:1
- F - Auto-fit first row to viewport width

Card Overlays

Bottom Left: Index number (#1, #2, etc.)
Bottom Right: Generation time in seconds
Top Left (on hover): Red ✕ button to reject/hide image
Top Right (on hover): Green "REVISE" button to open studio view

JSON Bars (Bottom)

Green Bar (Accepted): Contains a "Smart Grouped" JSON of all currently visible images. Click to select all, then copy-paste back into the configs_json widget to refine your batch.
Red Bar (Rejected): Contains the configs of images you deleted with the "✕" button.

Clicking REVISE on a card opens the studio view:

Left: Full-resolution preview.
Right: Input fields to tweak settings for this specific image.
Bottom: "Related Variants" reel showing other images with the same seed.
GENERATE NEW: Queues the specific config you just edited.

🎯 Example Workflows

Quick Quality Test (40 images)

[
  {
    "sampler": ["dpmpp_2m", "euler"],
    "scheduler": ["karras", "normal"],
    "steps": [20, 30],
    "cfg": [6.0, 7.0, 8.0],
    "denoise": "1.0"
  }
]

Multi-Model Comparison (9 images)

[
  {
    "sampler": "euler",
    "scheduler": "normal",
    "steps": 25,
    "cfg": 7.0,
    "model": [
      "model_v1.safetensors",
      "model_v2.safetensors", 
      "model_v3.safetensors"
    ]
  }
]

Set add_random_seeds_to_gens: 2 to get 3 variations per model (27 total images).

LoRA Stack Testing (24 images)

[
  {
    "sampler": "euler",
    "scheduler": "normal",
    "steps": 25,
    "cfg": 7.0,
    "lora": [
      "None",
      "style.safetensors:0.6:1.0",
      "style.safetensors:0.8:1.0",
      "style.safetensors:1.0:1.0",
      "style.safetensors:0.8:1.0 + detail.safetensors:0.5:1.0",
      "style.safetensors:1.0:1.0 + detail.safetensors:1.0:1.0"
    ]
  }
]

Test multiple LoRA strengths and combinations in one run.

Random LoRA Selection

Randomly select LoRAs from a folder for variety and experimentation:

Basic Syntax:

[
  {
    "sampler": "euler",
    "scheduler": "normal",
    "steps": 25,
    "cfg": 7.0,
    "lora": "XL/Styles/[3,0.85]"
  }
]

Randomly selects 3 LoRAs from XL/Styles/ folder at strength 0.85
Selection is reproducible (uses the config's seed) - same seed = same LoRAs

Truly Random (Non-Reproducible):

"lora": "XL/Styles/[3,0.85,random]"

Add random keyword to disable seed-based selection
Different LoRAs selected on each run for maximum variety

Dual Strength (Model + CLIP):

"lora": "XL/Characters/[2,0.8,0.6]"

Model strength: 0.8
CLIP strength: 0.6
Still seed-based (reproducible)

Combining with Regular LoRAs:

"lora": "XL/base.safetensors:1.0 + XL/Styles/[2,0.7] + XL/Details/[1,0.5,random]"

Loads base.safetensors at strength 1.0 (always)
Picks 2 random style LoRAs at 0.7 (same ones with same seed)
Picks 1 truly random detail LoRA at 0.5 (different each run)

Notes:

Random selection works with all subfolders
Trigger words are automatically fetched for all selected LoRAs
Path separators work on both Windows (\) and Linux (/)

Full Model Folder Test

[
  {
    "sampler": "dpmpp_2m",
    "scheduler": "karras",
    "steps": 25,
    "cfg": 7.0,
    "model": "realistic_models/"
  }
]

Tests ALL checkpoints in the realistic_models folder.

CLIP Skip for Anime Models

Control which CLIP layer to use for text encoding - crucial for anime models:

[
  {
    "sampler": "euler",
    "scheduler": "normal",
    "steps": 28,
    "cfg": 7.0,
    "model": "anime_model.safetensors",
    "clip_skip": -2
  }
]

clip_skip: 0 (default) - Use last layer (best for realistic models)
clip_skip: -1 - Skip 1 layer (transition)
clip_skip: -2 - Skip 2 layers (best for anime/illustration models)
clip_skip: -3 - Skip 3 layers (experimental)

Testing Multiple CLIP Skip Values:

[
  {
    "sampler": "euler",
    "steps": 28,
    "cfg": 7.0,
    "model": "anime_model.safetensors",
    "clip_skip": [0, -1, -2, -3]
  }
]

Generates 4 images testing different CLIP skip values with the same seed.

LoRA Trigger Word Filtering

Exclude specific trigger words from auto-appended LoRA triggers:

[
  {
    "sampler": "euler",
    "steps": 28,
    "cfg": 7.0,
    "lora": "style2.safetensors:0.8:0.6",
    "lora_omit_triggers": ["style", "makeup", "jewelry"]
  }
]

Automatically fetches trigger words from CivitAI
Filters out unwanted triggers (e.g., "style, makeup, jewelry")
Only keeps relevant triggers
Handles comma normalization (CivitAI stores triggers with trailing commas)

Multiple LoRAs with Filtering:

[
  {
    "lora": "XL/Quality/*:0.6:0.6 + XL/Style/anime.safetensors:1.0:0.8",
    "lora_omit_triggers": ["masterpiece", "best quality", "highres"]
  }
]

Filters apply to ALL LoRAs in the stack.

Model Folder Expansion

Test all models in a folder automatically:

[
  {
    "sampler": "euler",
    "scheduler": "normal",
    "steps": 28,
    "cfg": 7.0,
    "model": "SDXL/"
  }
]

Trailing / triggers folder expansion
Tests every .safetensors file in the folder
Can combine with other parameters for comprehensive testing

Multi-Architecture Comparison:

[
  {
    "model": ["SD1.5/", "SDXL/", "Flux/"],
    "sampler": "euler",
    "steps": 28
  }
]

Tests all models from all three folders with the same settings.

Note: When using model folder expansion with multiple models, the system automatically disables pre-encoding and batch-encodes prompts per-model for correct CLIP handling. You'll see:

[GridTester] ⚠️ Multiple models detected (3 different models) - pre-encoding DISABLED
[GridTester] ℹ️  Each model has a different CLIP - encoding will happen per-generation

📋 Preset Configs

🏆 Group 1: The "Gold Standards" (Reliable Realism)

Tests the 5 most reliable industry-standard combinations.
5 samplers × 2 schedulers × 2 step settings × 2 cfgs = 40 images

[
  {
    "sampler": ["dpmpp_2m", "dpmpp_2m_sde", "euler", "uni_pc", "heun"],
    "scheduler": ["karras", "normal"],
    "steps": [25, 30],
    "cfg": [6.0, 7.0],
    "lora": "None"
  }
]

🎨 Group 2: Artistic & Painterly

Tests 5 creative/soft combinations best for illustration and anime.
2 samplers × 3 schedulers × 3 step settings × 2 cfgs = 36 images

[
  {
    "sampler": ["euler", "dpmpp_2m"],
    "scheduler": ["simple", "beta", "normal"],
    "steps": [20, 25, 30],
    "cfg": [1.0, 4.5],
    "lora": "None"
  }
]

⚡ Group 3: Speed / Turbo / LCM

Tests 4 ultra-fast configs. (Note: Ensure you are using a Turbo/LCM capable model or LoRA).
4 samplers × 3 schedulers × 4 step settings × 2 cfgs = 96 images

[
  {
    "sampler": ["lcm", "euler", "dpmpp_sde", "euler_ancestral"],
    "scheduler": ["simple", "sgm_uniform", "karras"],
    "steps": [4, 5, 6, 8],
    "cfg": [1.0, 1.5],
    "lora": "None"
  }
]

🦾 Group 4: Flux & SD3 Specials

Tests 4 configs specifically tuned for newer Rectified Flow models like Flux and SD3.
2 samplers × 3 schedulers × 3 step settings × 2 cfgs = 36 images

[
  {
    "sampler": ["euler", "dpmpp_2m"],
    "scheduler": ["simple", "beta", "normal"],
    "steps": [20, 25, 30],
    "cfg": [1.0, 4.5],
    "lora": "None"
  }
]

🧪 Group 5: Experimental & Unique

Tests 6 weird/niche combinations for discovering unique textures.
6 samplers × 4 schedulers × 5 step settings × 4 cfgs = 480 images

[
  {
    "sampler": ["dpmpp_3m_sde", "ddim", "ipndm", "heunpp2", "dpm_2_ancestral", "euler"],
    "scheduler": ["exponential", "normal", "karras", "beta"],
    "steps": [25, 30, 35, 40, 50],
    "cfg": [4.5, 6.0, 7.0, 8.0],
    "lora": "None"
  }
]

🔧 Performance Tips

For Large Batches (1000+ images)

Set flush_batch_every: 10-20 to see progress updates without overwhelming the browser
Use vae_batch_size: 8-12 (balance between speed and VRAM)
Enable overwrite_existing: False so you can stop/resume safely
Close other browser tabs to free up memory for virtual scrolling

For Multi-Model Testing

Sort models by similarity in the JSON (reduces cache invalidation)
Use identical LoRA/prompt settings across models for fair comparison
Use add_random_seeds_to_gens: 2-3 to evaluate model consistency

For Memory-Constrained Systems

Lower vae_batch_size to 1-2
Test one model at a time instead of multi-model arrays
Use smaller resolution grids
Filter the dashboard to reduce visible cards

⚠️ Troubleshooting

Generation Issues

"Session not found": Ensure the session_name matches a folder inside ComfyUI/output/benchmarks/.
OOM Errors: If you crash during decoding, lower the vae_batch_size to 1 or 2.
Images not resuming: Make sure overwrite_existing: False. Check console for skip messages.
Random seeds different each run: This is intentional - random seeds are tied to the base seed. Change the base seed parameter to generate new random variations.
"mat1 and mat2 shapes cannot be multiplied" error:
- This indicates a model architecture mismatch
- For SD3/Flux/Z-Image models, ensure you connect ALL optional inputs (model, clip, vae, positive, negative)
- Check that your LoRAs are compatible with your model architecture
- Incompatible LoRAs are automatically detected and skipped with detailed error messages
Dashboard not auto-loading:
- Ensure the dashboard node is connected to the sampler's dashboard_html output
- Check browser console for connection errors
- Try manually clicking "RELOAD / SHOW SESSION" button

Dashboard Issues

Cards not appearing: Click inside the viewport area first to give it focus, then use keyboard navigation.
Can't scroll/pan: Right-click on the canvas area to focus it, or click and drag with left mouse button.
Slow performance with many images: The virtual scrolling should handle 5000+ images smoothly. If it's slow, try:
- Closing other browser tabs
- Reducing browser zoom to 100%
- Clearing localStorage (F12 → Console → localStorage.clear())
Images not loading: Scroll slower to give the lazy loader time to fetch images.
Hover z-index issues: Ensure you're using the latest CSS file with z-index: 999999 !important on card hover.
Mobile touch not working:
- Ensure you're using the latest version with touch support
- Try tapping and holding to reveal card buttons
- Use two fingers for pinch-to-zoom

LoRA & Trigger Word Issues

Trigger words not appearing:
- Enable lookup_and_append_lora_triggerwords in the sampler node
- Ensure internet connection for first-time LoRA lookup
- Check loras_tags.json in ComfyUI root for cached results
"INCOMPATIBLE LORA DETECTED" messages:
- This is normal - the node automatically skips incompatible LoRAs
- Check the summary at the end of generation for list of incompatible LoRAs
- Ensure your LoRAs match your model architecture (SD1.5 LoRAs won't work on SDXL, etc.)
Random LoRA selection not working:
- Ensure folder path is correct (e.g., "XL/Styles/[3,0.85]" not "XL/Styles[3,0.85]")
- Check console for debug messages showing available LoRAs
- Verify LoRAs exist in the specified folder and subfolders
- Path separators: Use forward slashes / in the syntax (auto-converts backslashes internally)
Random LoRAs different from expected:
- Seed-based selection is intentional - change base seed for different selection
- Use [count,strength,random] for truly random (non-reproducible) selection
- Random selection happens once at start - all generations in batch use same selected LoRAs
Trigger words not being filtered with lora_omit_triggers:
- Ensure lookup_and_append_lora_triggerwords is enabled
- Check that trigger words are actually being fetched (see console output)
- Trigger filtering is case-insensitive and handles trailing commas automatically
- Filters apply to all LoRAs in the stack

Model & CLIP Issues

Images look wrong with multiple models:
- System automatically handles multi-model CLIP encoding
- You should see: [GridTester] ⚠️ Multiple models detected - pre-encoding DISABLED
- Each model uses its own CLIP - this is correct behavior
- If you don't see this message with multiple models, check configs are properly formatted
CLIP skip not affecting results:
- Verify the model supports CLIP skip (anime models typically do)
- Use appropriate values: 0 for realistic, -2 for anime
- Test with same seed and only change clip_skip to see differences
- SDXL models may not be as sensitive to CLIP skip as SD1.5
"No files found in folder" for model expansion:
- Ensure trailing / in path: "SDXL/" not "SDXL"
- Check folder exists in ComfyUI/models/checkpoints/
- Folder names are case-sensitive on Linux/Mac
- Verify there are actually .safetensors files in the folder

Remote VAE Issues

Remote VAE not working:
- Check endpoint is set correctly in node parameters
- Verify server is running and accessible
- Look for [GridTester] 🌐 Remote VAE worker started in console
- Should see [GridTester] 🌐 Queued X images for remote VAE decoding
- If no queue messages appear, remote VAE isn't being used
Remote VAE hangs on "Waiting for remote VAE":
- Server may have crashed - check server logs
- Network connectivity issues - try local endpoint first
- Restart remote VAE server and try again

Interrupt/Cancel Issues

Cancel doesn't stop generation:
- Ensure you're using the latest version with interrupt handling
- Cancel now stops ALL remaining jobs (not just current image)
- Should see 🛑 INTERRUPTED - Stopping all jobs in console
- Completed work is automatically saved
Work lost after canceling:
- This shouldn't happen - manifest is saved on interrupt
- Check ComfyUI/output/benchmarks/{session_name}/manifest.json
- Dashboard should show all completed images
- If manifest is empty, check console for save errors

Browser Compatibility

Chrome/Edge: Full support ✅
Firefox: Full support ✅
Safari: Mostly works, some keyboard shortcuts may conflict
Mobile: Full touch support ✅ (iOS Safari, Android Chrome tested)

📝 Changelog

Update 2/5/26 - Code Refactoring & Performance Improvements

🏗️ Major Code Refactoring: Reorganized codebase into 6 modular files for better maintainability
- trigger_words.py - LoRA trigger word handling
- batch_encoding.py - CLIP batch encoding with caching
- manifest_utils.py - Manifest file management
- model_loader.py - Model/LoRA loading and patching
- image_generation.py - Image generation and sampling
- generation_orchestrator.py - Main orchestration layer
🎯 CLIP Skip Support: Control CLIP layer usage with clip_skip parameter
- Essential for anime models (typically -2) vs realistic models (0)
- Supports arrays for testing multiple values
- Integrated with batch encoding system
🧠 Intelligent CLIP Encoding: Multi-model workflows now handle CLIP correctly
- Automatically detects when multiple models are used
- Disables pre-encoding when needed to prevent CLIP mismatches
- Each model uses its own CLIP for accurate results
⚡ Batch Encoding on Model Switch: 3-6x faster encoding for multi-model workflows
- When switching models, all prompts are batch-encoded at once
- Reduces CLIP load/unload cycles dramatically
- Intelligent look-ahead collects all prompts for each model
🗑️ LoRA Trigger Word Filtering: New lora_omit_triggers parameter
- Exclude specific trigger words from auto-appended LoRA triggers
- Supports arrays: ["trigger1", "trigger2"]
- Handles comma normalization from CivitAI API
📁 Model Folder Expansion: Use "model": "FolderName/" to test all checkpoints in a folder
- Works just like LoRA folder expansion
- Perfect for comparing model versions or architectures
- Automatically detects and tests all .safetensors files
🛑 Graceful Interruption: Cancel now stops ALL jobs, not just current generation
- Flushes pending batches before stopping
- Waits for remote VAE to complete current jobs
- Saves manifest with all completed work
- Generates HTML dashboard with progress so far
🌐 Remote VAE Fixes: Remote VAE decoding now works correctly
- Fixed initialization to work with all configurations
- Fixed job queuing with correct method signature
- Works with single or multiple models
- Properly integrated with interrupt handling
🔧 str_model/str_clip Removal: Deprecated config fields removed
- Strengths now properly specified in LoRA string: "lora.safetensors:0.8:0.6"
- Each LoRA in stack can have different strengths
- Cleaner, more intuitive syntax
📚 Comprehensive Documentation: Added detailed guides for all new features
- CLIP skip usage and best practices
- Model folder expansion examples
- Batch encoding optimization explanation
- LoRA trigger filtering guide
- Remote VAE configuration

Update 2/5/26 - Random LoRA Selection

🎲 Random LoRA Selection: Randomly select LoRAs from folders with powerful new syntax
- [count,strength] - Select N random LoRAs at specified strength (seed-based, reproducible)
- [count,strength,random] - Truly random selection that changes each run
- [count,model_str,clip_str] - Support for dual strength (model and CLIP)
- Combine with regular LoRAs: "base.safetensors:1.0 + XL/Folder/[3,0.8]"
- Cross-platform path handling (Windows \ and Linux / both work)
- Full integration with trigger word lookup system
- Automatic expansion before generation for consistent results

Update 1/14/26 - Major Feature Update

🎯 Non-Standard Model Support: Full compatibility with SD3, Flux, Z-Image, and other architectures
- Automatic latent channel detection (4 for SD1.5/SDXL, 16 for SD3/Flux/Z-Image)
- Smart model/clip/vae override handling
- Proper dimension handling for non-standard architectures
⭐ Favorites System: Star your best images with dedicated gold JSON bar for favorited configs
🎨 Horizontal JSON Bars: Redesigned layout with three side-by-side bars (Accepted/Favorites/Rejected)
🔍 LoRA Auto Trigger Words: Automatic CivitAI API integration
- SHA256 hash-based LoRA lookup
- Automatic trigger word prepending to prompts
- Local caching in loras_tags.json
🚫 LoRA Compatibility Detection: Automatically detects and skips incompatible LoRAs
- Clear error messages once per LoRA+Model combination
- End-of-run summary of incompatible LoRAs
- No more log spam from dimension mismatches
⌨️ Shift+Click Filter Isolation: Shift+click any filter to isolate it (deselect all others)
🎯 Go to Image #: Jump directly to any image number from header input field
🚀 Dashboard Auto-Load: Automatically loads session when generation starts (no manual entry needed)
📱 Mobile Touch Support: Full pinch-to-zoom and pan gestures on mobile devices
🔐 Conditioning Change Detection: Uses tensor hashing to detect prompt changes in pre-encoded conditioning
📋 Enhanced Revise Modal: Now shows model, seed, and complete prompts (with trigger words)
💾 Prompt Persistence: Saves actual prompts (with trigger words) to manifest.json
⚡ Performance Improvements: Optimized skip logic, better cache invalidation, reduced redundant operations

Update 1/11/26 - Major Overhaul

✨ Virtual Scrolling: Handles 5000+ images smoothly with automatic load/unload
🖼️ Fullscreen Mode: Expand dashboard to fill entire screen
🔄 Multi-Model Support: Test multiple checkpoints in single run with folder expansion
🎨 Multi-LoRA Stacking: Layer multiple LoRAs with + separator, supports folder expansion
🎲 Multi-Seed Generation: Add random variations per config with deterministic seeds
⏸️ Stop & Resume: Intelligent skip detection - resume where you left off
⌨️ Keyboard Navigation: Spacebar to scroll rows, arrow keys, F for auto-fit
📊 Live Updates: flush_batch_every parameter for incremental dashboard updates
💾 Persistent Settings: Sort order and column count saved to localStorage
🎯 Auto-Fit Zoom: Automatically centers and fits first row on load
⚡ Performance: Massive refactoring and optimization throughout codebase

📜 License

MIT License. Feel free to use, modify, and distribute.

🙏 Credits

Created for the ComfyUI community. Special thanks to all contributors and testers who helped refine this tool.

Star this repo if you find it useful! ⭐

README.md Unescape Escape

ComfyUI Ultimate Auto Sampler Config Grid Testing Suite

🌟 Key Features

🚀 Powerful Grid Generation

🎨 Interactive Dashboard (The "IDE")

⚡ The "Revise & Generate" Workflow

🧹 Curation & JSON Export

📦 Installation

🛠️ Usage Guide

1. The Nodes

2. Generator Node Parameters

Core Settings

Performance Settings

Advanced Settings

3. The JSON Configuration

Multi-Model Testing

Folder Expansion

Multi-LoRA with Stacking

Resolution Grid

Multiple Prompts

4. Hybrid Inputs (Optional)

🖥️ Dashboard Interface

Header Bar

Toolbar

Navigation & Controls

Card Overlays

JSON Bars (Bottom - Horizontal Layout)

Revision Modal

Toolbar

Navigation & Controls

Card Overlays

JSON Bars (Bottom)

Revision Modal

🎯 Example Workflows

Quick Quality Test (40 images)

Multi-Model Comparison (9 images)

LoRA Stack Testing (24 images)

Random LoRA Selection

Full Model Folder Test

CLIP Skip for Anime Models

LoRA Trigger Word Filtering

Model Folder Expansion

📋 Preset Configs

🏆 Group 1: The "Gold Standards" (Reliable Realism)

🎨 Group 2: Artistic & Painterly

⚡ Group 3: Speed / Turbo / LCM

🦾 Group 4: Flux & SD3 Specials

🧪 Group 5: Experimental & Unique

🔧 Performance Tips

For Large Batches (1000+ images)

For Multi-Model Testing

For Memory-Constrained Systems

⚠️ Troubleshooting

Generation Issues

Dashboard Issues

LoRA & Trigger Word Issues

Model & CLIP Issues

Remote VAE Issues

Interrupt/Cancel Issues

Browser Compatibility

📝 Changelog

Update 2/5/26 - Code Refactoring & Performance Improvements

Update 2/5/26 - Random LoRA Selection

Update 1/14/26 - Major Feature Update

Update 1/11/26 - Major Overhaul

📜 License

🙏 Credits

README.md