Create Breathtaking Visuals: "miluo丨Blue Sky & White Clouds" Social Media Post Workflow Revealed
1. Workflow Overview

This workflow, named "miluo丨Blue Sky & White Clouds_Social Media Post", generates aesthetic social media images featuring clear skies, artistic portraits/scenes, ideal for posters or online content.
Core Models:
Stable Diffusion:
高级质感人像-FLUX_v1.0
(optimized for portrait quality).LoRA:
miluo丨蓝天白云去旅行_文艺文案风_v1.8
(enhances sky/cloud and artistic style).
Function:
Generates high-quality images from prompts.
Supports online and local execution modes (grouped in the workflow).
2. Key Nodes
Node Name | Description | Installation |
---|---|---|
CheckpointLoaderSimple | Loads the main model ( | Manually download to |
LoraLoader | Loads LoRA ( | Download |
CLIPTextEncode | Encodes prompts (e.g., default Asian woman description). | Built-in. |
KSampler | Controls generation (steps: 30, CFG: 1, sampler: | Built-in. |
VAEDecode | Decodes latent images to pixels. | Built-in. |
ttN text | Allows dynamic prompt input. | Install |
SamplerCustomAdvanced | Advanced sampler (for local execution). | Install |
3. Workflow Structure
Two main modules:
Online Execution (Default):
Group 1: Model Loading
Nodes:
CheckpointLoaderSimple
,LoraLoader
.Output: Loaded models + CLIP encoder.
Group 2: Generation
Nodes:
CLIPTextEncode
,KSampler
,VAEDecode
.Input: Prompts, resolution (
768x1248
), sampling params.Output: Generated image.
Local Execution (Manual):
Uses
SamplerCustomAdvanced
for high-performance local GPUs.
4. Inputs & Outputs
Inputs:
Resolution:
768x1248
(online) or768x1024
(local).Prompts: Default includes "blue sky/white clouds" and portrait descriptions (customizable).
Sampling: Steps
30
, CFG1
,euler
sampler.
Output:
Final image: Artistic HD render (PNG).
5. Notes
Model Dependencies:
Main model: 高级质感人像-FLUX_v1.0.
LoRA: Blue Sky LoRA.
Hardware:
Online: ≥6GB VRAM.
Local: ≥8GB VRAM (e.g., RTX 3060+).
Troubleshooting:
Poor results: Adjust prompts or LoRA weight (default:
0.4
).Resolution issues: Match output size to model training dimensions.