Elevate your ComfyUI image generation workflow with the CCC v03 SDXL SIMPLE setup by Mickmumpitz. This pipeline is a lightweight and efficient multi-prompt system that enhances creative control using Impact Pack nodes and ComfyUI’s batch-friendly design. Perfect for generating consistent styles across multiple images with high detail using SDXL.

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🎯 Features

• Optimized for SDXL – Built around SDXL with thoughtful use of vae and CLIP modules.
• Multi-Prompt Control – Add multiple style prompts for diverse image outputs.
• Impact Pack Integration – Efficient image batching and layout manipulation using advanced nodes.
• Image Detail Enhancement – Includes Detail Transfer to sharpen and enhance final results.
• High-Resolution Ready – Image padding, resizing, and upscale-ready components.
• Batch Friendly – Generate multiple images and compose them in batch for easy output.
• Simple Yet Modular – Easy to tweak for advanced users while being plug-and-play for newcomers.

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💡 Use Cases

• Digital Art Projects – Ideal for creating consistent yet varied artwork across a series.
• Style Studies – Test multiple art styles in parallel with minimal setup.
• Concept Visualization – Iterate visual ideas quickly with prompt variations.
• Content Batch Production – Produce assets for games, comics, or social media.
• Portfolio Building – Experiment and build coherent yet diverse image sets.

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⚙️ How It Works

1. Prepare Your Inputs
   • Provide a batch of images or let the system generate from noise.
2. Set Your Style Prompts
   • Use the Get_style_prompt node to define your prompt variations.
3. Generate Latents
   • Use EmptyLatentImage or VAEEncode nodes based on your input type.
4. Run Sampling
   • SamplerCustomAdvanced and KSampler nodes process your input with noise, sigmas, and conditions.
5. Decode & Refine
   • VAEDecode brings the latent to image. Then, DetailTransfer sharpens final output.
6. Image Batch Assembly
   • Use ImageBatch, ImpactMakeImageBatch, or ImageConcanate for output layout.
7. Export Results
   • Results are batched or split with ImpactImageBatchToImageList, ready to save.

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Credits: Mickmumpitz