javawock7618/comfy-workflows

Anima & Krea-2 GGUF Text-to-Image Workflows Collection

This repository provides highly optimized ComfyUI workflows tailored for the Anima and Krea-2 model families, specifically utilizing GGUF quantized variants. Built entirely around ComfyUI's native core nodes and GGUF loaders, these workflows enable high-speed, high-fidelity Text-to-Image (t2i) generation while maintaining an exceptionally low VRAM footprint.

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Workflow Files & Overview

The repository contains the following production-ready workflow files.
(Note: YYMM.x in the file names represents the release year, month, and version number, e.g., 2606.1)

#	File Name	Workflow Target	Key Features & Quick Notes
1	Anima_t2i-javanoYYMM.x.json	Anima Text-to-Image (t2i)	Pure Text-to-Image generation running on Anima GGUF. Optimized for ultra-fast sampling, high prompt adherence, and rich textural composition.
2	Krea2_t2i-javanoYYMM.x.json	Krea-2 Text-to-Image (t2i)	Native GGUF workflow for Krea-2. Tailored to enhance cinematic aesthetics, sharp details, and clean spatial upscaling.

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Detailed Workflow Breakdown

1. Anima Text-to-Image Generation (Anima t2i)

Designed for high-resolution static image production utilizing Anima's native GGUF Text-to-Image architecture to minimize VRAM usage on consumer-grade GPUs.

• Native GGUF Architecture: Completely bypasses complex wrapper extensions, routing the model structure natively through ComfyUI's core sampling blocks (Unet-Loader (GGUF)).
• Advanced Prompt Adherence: Fully optimized KSampler configurations specifically balanced to harness Anima's unique aesthetic qualities, fine micro-details, and crisp compositions without cooking or oversaturating the output.
• Flexible Resolution Control: Set up with standard latent aspect ratio selectors to ensure optimal structural generation at native resolutions.

2. Krea-2 Text-to-Image Generation (Krea-2 t2i)

A dedicated workflow built to unleash the powerful aesthetic capabilities of the Krea-2 model within a lightweight GGUF framework.

• Cinematic & Spatial Optimization: Finetuned sampler settings that maximize Krea-2's core strengths—including enhanced lighting, realistic rendering, and crisp composition framing.
• Efficient Inference Pipeline: Leverages native GGUF quantization to handle Krea-2's advanced parameters smoothly, lowering hardware entry barriers while preserving premium image quality.

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Prerequisites & Installation

To ensure all workflows load correctly without errors, please ensure your environment is fully updated:

1. ComfyUI Core: Update ComfyUI to v0.24.0 / Frontend 1.45.15 or newer. These workflows run entirely on ComfyUI's native GGUF implementation—no extra model wrapper extensions are needed.
2. Custom Nodes:
   • Ensure ComfyUI-GGUF (or the core node equivalent for loading GGUF model weights) and standard utility nodes (such as ComfyUI-KJNodes) are fully updated via the ComfyUI Manager.
   • If any supporting node appears red upon loading, simply use ComfyUI Manager -> Install Missing Custom Nodes.
3. Required Assets:
   • Base Models (GGUF): Download the correct Anima GGUF and Krea-2 GGUF quantized weights and place them into your models/unet/ or designated GGUF directory.
   • Text Encoders / VAE: Ensure your required Text Encoders (CLIP / T5) and target VAE are correctly configured in your models/clip/ and models/vae/ directories to process the text prompts accurately.