Unlock Professional-Grade Poster Design with Miluo Advanced Aesthetic Workflow

📌 1. Workflow Overview

This workflow is called Miluo Advanced Aesthetic Poster Design, designed for generating high-quality posters for beauty, beverage, and product marketing scenarios.
The workflow contains two main modules:

• Online Execution: Uses remote models for generation, ideal for cloud resources.

• Local Execution: Runs locally with offline models, suitable for users with powerful local GPUs.

✅ Key Features

• Based on the Flux and Lora models, it generates posters with high-end aesthetics and artistic quality.

• Supports multiple themes, including Chinese aesthetics, magical scenes, and minimalism.

• The output quality is close to movie-grade poster effects, making it ideal for commercial and creative projects.

📌 2. Core Models

1. LoraLoader (miluo丨产品海报设计丨落果繁花_极致审美质感丨美妆饮品营销_v1.3)

   • Applies Lora fine-tuning to enhance stylization.

   • Weight: 0.4, boosting the theme styling effect.

2. CheckpointLoaderSimple (miluo-flux-pro_模型配置更智能_v1.0)

   • The core model responsible for image generation.

   • Based on the Flux framework, optimized for efficiency and quality.

3. VAE Loader (ae.sft)

   • Uses VAE to decode and reconstruct the image, ensuring quality.

4. KSampler

   • Uses the euler sampler for latent image generation.

5. BasicGuider

   • Guides the image generation process and refines details.

📌 3. Component Description

1. EmptyLatentImage

   • Creates an empty latent image with a resolution of 768x1248.

2. LoraLoader

   • Loads the Lora model for fine-tuning and aesthetic enhancement.

3. VAEDecode

   • Decodes the latent image into a visual image.

4. KSampler

   • Uses the Euler sampler with 30 steps for image generation.

5. CheckpointLoaderSimple

   • Loads the Flux core model for generation.

6. CLIPTextEncode

   • Encodes text prompts into model-readable conditioning.

7. RandomNoise

   • Introduces random noise for image diversity.

8. BasicGuider

   • Guides the generation process for better details.

9. PreviewImage

   • Previews the generated image.

✅ Installation

• Place the core models and Lora files into ComfyUI/models/checkpoints/.

• Place the VAE model into ComfyUI/models/vae/.

• Install Flux plugin via ComfyUI Manager or manually:

1. git clone https://github.com/FluxAI/ComfyUI-Flux.git

• Add the plugin to ComfyUI/custom_nodes/.

📌 4. Workflow Structure

Online Execution Module

1. Text Encoding

   • Encodes text prompts using CLIPTextEncode.

2. Image Generation

   • Generates posters using the Flux model and Lora fine-tuning.

3. Decoding and Preview

   • Decodes latent images with VAE and previews the result.

Local Execution Module

1. Noise Generation

   • Adds random noise.

2. Image Generation

   • Generates latent images with samplers.

3. Decoding and Saving

   • Decodes the image and displays it in the preview window.

📌 5. Input and Output

✅ Input:

• Text prompt: e.g., "A can of 'miluo' peach soda with a pink label featuring a peach graphic, placed on a pile of ripe peaches against a bright blue sky with fluffy clouds."

• Image resolution: 768x1248.

• Noise seed: Random or specified.

✅ Output:

• High-end aesthetic poster images, saved automatically to the ComfyUI output directory.

📌 6. Considerations

• Requires at least a 12GB GPU for optimal performance.

• Online execution is suitable for cloud use, while local execution needs a strong local GPU.