🐓 ComfyUI Bawk Nodes v2.0.0

A collection of FLUX-optimized ComfyUI nodes for efficient AI image generation.

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🎯 What's New in v2.0.0

Major Rewrite: Complete FLUX-first redesign with modular architecture and workflow consolidation.

• 🎲 Enhanced Wildcard Encoder with 6 LoRA slots
• 🐓 All-in-One BawkSampler with integrated VAE decoding
• 📁 Modular Architecture for better maintainability
• ⚡ Streamlined Workflows - fewer nodes, more power
• 💾 Enhanced Image Saver with prompt saving

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🚀 Node Collection Overview

Node	Description	Category
🚀 Diffusion Model Loader	Advanced FLUX-optimized model loading	Loaders
🎲 FLUX Wildcard Encoder	Text encoding + 6 LoRA slots + wildcards	Conditioning
🐓 Bawk Sampler	All-in-one latent generation, sampling & VAE decode	Sampling
💾 FLUX Image Saver	Organized saving with metadata & prompt files	Image
📝 FLUX Prompt Saver	Standalone prompt archiving	Text

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🔥 Complete FLUX Workflow

Before BawkNodes (5+ nodes):

CheckpointLoader → LoraLoader → CLIPTextEncode → EmptyLatent → KSampler → VAEDecode → SaveImage

After BawkNodes (3 nodes):

🚀 DiffusionModelLoader → 🎲 FluxWildcardEncode → 🐓 BawkSampler → 💾 FluxImageSaver

60% fewer nodes, 100% of the power!

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📦 Installation

Method 1: ComfyUI Manager (Recommended)

1. Open ComfyUI Manager
2. Search for "Bawk Nodes"
3. Click Install
4. Restart ComfyUI

Method 2: Manual Installation

cd ComfyUI/custom_nodes
git clone https://github.com/juddisjudd/ComfyUI-BawkNodes.git
# Restart ComfyUI

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🎲 Node Details

🚀 Diffusion Model Loader (Advanced)

FLUX-optimized model loading with advanced features.

Features:

• Multiple model formats (FLUX, SDXL, SD1.5)
• Flexible weight data types (fp8, fp16, bf16, fp32)
• Separate VAE and CLIP loading
• Multiple directory support

Inputs:

• model_name - Model from diffusion_models folder
• vae_name - VAE or "baked VAE"
• clip_name1/2 - CLIP models for FLUX
• weight_dtype - Precision optimization

Outputs: MODEL, VAE, CLIP, MODEL_STRING

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🎲 FLUX Wildcard Encoder

Enhanced text encoder with 6 LoRA slots and wildcard support.

Features:

• Wildcard Processing: {option1|option2|option3} syntax
• 6 LoRA Slots: Individual enable/disable toggles
• Fuzzy LoRA Matching: Flexible file resolution
• FLUX Optimization: 16-channel conditioning

Inputs:

• model, clip - From model loader
• prompt - Text with wildcard support
• wildcard_seed - Seed for consistent wildcard selection
• lora_X_on - Enable/disable each LoRA (X = 1-6)
• lora_X_name - LoRA selection dropdown
• lora_X_strength - Strength adjustment (-10.0 to +10.0)

Outputs: MODEL, CLIP, CONDITIONING, PROMPT_OUT

Example Prompt with Wildcards:

A {beautiful|stunning|gorgeous} {cat|dog|bird} in a {forest|garden|meadow}, 
{photorealistic|artistic|stylized} style

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🐓 Bawk Sampler (All-in-One)

Complete latent generation, sampling, and VAE decoding in one node.

Features:

• Smart Resolution Presets: Pre-configured FLUX-optimized resolutions
• Custom Resolution Support: Manual width/height with 64px alignment
• Advanced FLUX Sampling: All FLUX-specific parameters
• Integrated VAE Decoding: Direct image output
• Batch Generation: Up to 64 images at once

Key Inputs:

• model, conditioning, vae - From previous nodes
• resolution - Smart presets or custom
• batch_size - Number of images (default: 4)
• sampler - Sampling method (default: euler)
• scheduler - Noise schedule (default: beta)
• steps - Sampling steps (default: 30)
• guidance - FLUX guidance scale (default: 3.5)
• max_shift - FLUX max shift (default: 0.5)
• base_shift - FLUX base shift (default: 0.3)

Resolution Presets:

• FHD 16:9 - 1920x1080 (default)
• Medium Square - 1024x1024
• Portrait 9:16 - 1080x1920
• Ultra-wide - 1792x768
• And many more...

Outputs: IMAGE, LATENT

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💾 FLUX Image Saver

Organized image saving with metadata and prompt archiving.

Features:

• Smart Folder Organization: [MODEL]-DD-MM-YYYY structure
• Multiple Formats: PNG, JPG, WebP support
• Metadata Embedding: PNG metadata support
• Prompt File Saving: Separate .txt files with processed prompts
• JSON Metadata: Complete generation parameters

Inputs:

• images - From BawkSampler
• model_string - From model loader
• processed_prompt - From wildcard encoder
• save_prompt - Enable prompt file saving (default: True)
• format - Image format (PNG/JPG/WebP)
• quality - Compression quality (1-100)

File Output Example:

ComfyUI/output/[FLUX_Model]-01-08-2025/
├── flux_image_01-08-2025_14-30-15_001.png
├── flux_image_01-08-2025_14-30-15_002.png
├── flux_image_01-08-2025_14-30-15_prompt.txt
├── flux_image_01-08-2025_14-30-15_001_metadata.json
└── flux_image_01-08-2025_14-30-15_002_metadata.json

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📝 FLUX Prompt Saver

Standalone prompt and parameter archiving.

Features:

• JSON Format: Structured data storage
• Complete Parameters: All generation settings
• Organized Storage: Matches image saver folder structure
• Workflow Integration: Links with other BawkNodes

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🛠️ Advanced Usage

Wildcard Examples

Basic Wildcards:

A {red|blue|green} car in the {city|countryside}

Nested Concepts:

{A majestic|An elegant|A powerful} {dragon|phoenix|griffin} 
{soaring through|perched upon|emerging from} {clouds|mountains|flames}

Style Variations:

Portrait of a woman, {photorealistic|oil painting|digital art|watercolor} style,
{studio lighting|natural lighting|dramatic lighting}

LoRA Management

Best Practices:

1. Enable LoRAs individually for precise control
2. Use strength between 0.5-1.5 for most LoRAs
3. Combine complementary LoRAs (style + subject)
4. Test different combinations for unique results

Example LoRA Setup:

• LoRA 1: realistic_skin_v2.safetensors (0.8)
• LoRA 2: dramatic_lighting.safetensors (0.6)
• LoRA 3: detail_enhancer.safetensors (0.4)

Resolution Guidelines

Recommended Presets:

• Square: Medium Square - 1024x1024
• Landscape: FHD 16:9 - 1920x1080
• Portrait: Portrait 9:16 - 1080x1920
• Widescreen: Ultra-wide - 1792x768

Custom Resolution Rules:

• Must be multiples of 64 pixels
• Keep total pixel count reasonable (<4MP for speed)
• Consider VRAM limitations for large batches

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🔧 Configuration

Model Setup

1. FLUX Models: Place in models/diffusion_models/
2. VAE Files: Place in models/vae/
3. CLIP Models: Place in models/text_encoders/
4. LoRA Files: Place in models/loras/

Recommended Settings

For Speed:

• Resolution: Medium Square - 1024x1024
• Batch Size: 4
• Steps: 20-25
• Sampler: euler

For Quality:

• Resolution: FHD 16:9 - 1920x1080
• Batch Size: 1-2
• Steps: 30-40
• Sampler: dpmpp_2m

For Experimentation:

• Use wildcards with high variation
• Enable multiple LoRAs
• Try different guidance scales (2.0-5.0)

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Troubleshooting

Common Issues

Node Not Appearing:

# Check ComfyUI console for errors
# Ensure all files are in correct directories
# Restart ComfyUI completely

LoRA Not Loading:

• Check file is in models/loras/
• Verify file isn't corrupted
• Check console for specific error messages

Memory Issues:

• Reduce batch size
• Use lower resolution
• Enable fp8 weight dtype in loader

Generation Errors:

• Verify all connections are correct
• Check that VAE is connected to BawkSampler
• Ensure CLIP and MODEL are from same loader

Performance Optimization

VRAM Usage:

• Use fp8_e4m3fn_fast for weight dtype
• Reduce batch size for large images
• Close other GPU applications

Speed Improvements:

• Use euler sampler with beta scheduler
• Reduce step count (20-30 is often sufficient)
• Use medium resolution presets

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📄 License

GPL-3.0 license - see LICENSE file for details.

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🙏 Acknowledgments

• rgthree - Inspiration for dynamic UI patterns

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🔗 Links

• Comfy Registry: Comfy-Registry
• Issues: Report Bugs

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