CIVITAI / Workflows

Krea2 Civitai-Style Texture Replication Workflow

Watch the full video first if you want to understand how this Krea2 Civitai-style texture replication workflow works in practice. The video shows how Krea2 Turbo can be used with a tag-driven prompt structure and strong Rebalance conditioning to create images with the kind of polished fantasy texture, character detail, and illustration-style finish often seen in community model galleries. This ComfyUI workflow is designed for Krea2 Civitai-style image generation. Its purpose is not only to generate a normal Krea2 image, but to reproduce a more tag-based, high-detail, gallery-style visual language. It is especially useful for creators who want stronger character rendering, richer fantasy texture, more detailed costume design, clearer lighting structure, and a more polished illustration finish. The workflow uses Krea2_Turbov10Fp8.safetensors as the main model. The text encoder route uses qwen3vl_4b_fp8_scaled.safetensors with the Krea2 CLIP type, while the VAE route uses qwen_image_vae.safetensors. This keeps the graph lightweight and fast, while still allowing a strong stylized image output. The main control module is ConditioningKrea2Rebalance. The workflow uses a custom 12-layer per-layer weight structure: 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.5, 5.0, 1.1, 4.0, 1.0 The multiplier is set to 4.0, which makes the conditioning drive much stronger than a standard baseline setup. This helps the prompt tags and visual concepts become more visible in the final image, especially for texture, contrast, costume detail, character definition, fantasy atmosphere, and overall style intensity. The prompt route uses a Civitai-style tag structure, starting with quality tags such as score_9, score_8_up, score_7_up, masterpiece, best quality, absurdres, and highly detailed. This is followed by character tags, subject description, fantasy setting, lighting, atmosphere, and style direction. The example prompt focuses on a white fox priestess, ornate ceremonial clothing, divine armor details, a ruined ancient temple city, colossal deity statues, dragon-shaped mist spirits, burning amber light, dark teal shadows, and a mythic Chinese fantasy atmosphere. The sampling setup is simple and fast. It uses KSampler with 8 steps, CFG 1, euler sampler, simple scheduler, full denoise, and a fixed seed. This makes the workflow practical for fast testing, prompt comparison, Civitai-styl