Create Breathtaking Mini Worlds with Capsule Micro LoRA and Stable Diffusion
Generate Stunning Miniature Cityscapes with AI! Learn how to combine Stable Diffusion with Capsule Micro World LoRA for breathtaking 2x upscaled city skylines. Discover the workflow, core models, and key nodes behind this innovative technique.
- Key Nodes
- Upscaler
- VRAM
- Low VRAM (≤8GB)
- Reading Time
- 3 min
Workflow Overview
Generate Stunning Miniature Cityscapes with AI! Learn how to combine Stable Diffusion with Capsule Micro World LoRA for breathtaking 2x upscaled city skylines. Discover the workflow, core models, and key nodes behind this innovative technique.
Content type: Workflow
Primary intent: Download
Required Models
- Lora
- Sd
Required Nodes
- Upscaler
Setup Notes
- Install the required models before opening the workflow template.
- Recommended hardware: Low VRAM (≤8GB).
1. Workflow Overview
This workflow generates miniature cityscapes (e.g., Qingdao skyline inside a pill capsule) by combining Stable Diffusion with a "Capsule Micro World" LoRA. It includes text encoding, latent space generation, and 2x upscaling for HD output.
2. Core Models
Stable Diffusion (UNETLoader): Base model (
基础算法_F.1), FP8 precision.Capsule Micro World LoRA: Enhances miniature details (weight=0.8).
T5-XXL & CLIP-L: Dual text encoders for prompt understanding.
2xNomosUni Upscaler: Post-processing 2x super-resolution.
3. Key Nodes
Node Name | Function | Installation | Dependencies |
|---|---|---|---|
DualCLIPLoader | Loads T5+CLIP text encoders | Built-in | Requires |
Lora Loader Stack | Dynamic LoRA loading | Install | Needs LoRA files |
SamplerCustomAdvanced | Advanced noise-controlled sampler | Built-in | None |
ImageUpscaleWithModel | 2x image upscaling | Built-in | Requires |
4. Workflow Structure
Group 1: Text Input
CLIPTextEncode: Processes prompts (e.g., "Shanghai micro-city in a capsule").
Group 2: Image Generation
EmptyLatentImage: Sets resolution (768x1024).
SamplerCustomAdvanced: Generates latent image with LoRA.
Group 3: Post-Processing
VAEDecode: Decodes latent to image.
ImageUpscaleWithModel: 2x upscaling.
5. Inputs & Outputs
Input Parameters:
Required: Prompts, resolution (768x1024).
Optional: Seed (random by default), LoRA weight (default=0.8).
Output: Upscaled PNG (saved to
wangyi AI Studiofolder).
6. Notes
Plugin: Install
rgthree-comfyvia ComfyUI Manager for LoRA stacking.Model Paths: Place LoRA (
胶囊微缩世界) and upscaler (2xNomosUni) in correct folders.Performance: ≥8GB VRAM recommended; use
fp8_e4m3fnfor lower resource usage.Debug: Check CLIP model if prompts fail to encode.