WorkflowPublicadoExterno

Basic Workflow — v1.0

This is my basic workflow, which I developed after many learned. It's a balance between quality, speed, performance and facilities. Every new work I will start, I start with this.

Fuentecivitai.com/models/1626113

TareaTexto a imagenFamiliaStable DiffusionVRAM estimadaEstimación no disponibleBcalidad

Perfil de ejecución

Acceso: Flujo externo
Estado: Publicado
Fuente: Civitai
Actualizado: 19 jul 2026

Descripción de la fuente

This is my basic workflow, which I developed after many learned. It's a balance between quality, speed, performance and facilities. Every new work I will start, I start with this.

If you enjoy my work, give me a like, consider leaving a comment or supporting me. I’d really appreciate it! Buy me a Coffee .

Note: Example images are AI-generated and do not represent real people.

Beyond the basics, this workflow has special features:

Has a fixed Lora loader (Lora Loader Stack (rgthree)). This is necessary because if you do more than one generation with, 32 generations in one only run by eg if you use the Load LoRA Tag, it will load the same Lora 32 times. So for shared Loras you set in Lora Loader Stack (rgthree) to load once and save performance.

Comentario generado por IA

Explicación generada por IA basada en los detalles de la fuente y la configuración. Las sugerencias están claramente identificadas.

Propósito

Basic Workflow is for creating SD 1.5 images from text input, a seed, and selected checkpoint, LoRA, and VAE components, with decoded and saved image outputs.
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Flujo

The named stages include text encoding, sampling with KSampler, VAE decoding, and image saving.
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Entradas y salidas

Use CLIPTextEncode or ttN text for text input, choose a Seed, and select checkpoint, LoRA, and VAE components.
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The workflow names VAEDecode and SaveImage as stages for decoded and saved images.

Configuración inicial

Find Basic Workflow on Civitai; it is listed as a Workflows item based on SD 1.5 and published by Alastor 666 1933.

Dependencias

Listed model files are LCM_LoRA_Weights_SD15.safetensors, realisticVisionV60B1_v51HyperVAE.safetensors, and vae-ft-mse-840000-ema-pruned.safetensors.
Named node items include Anything Everywhere, caching_condition, CheckpointLoaderSimple, CLIPTextEncode, EmptyLatentImage, GetNode, KSampler, and Lora Loader Stack (rgthree).
Other named node items include LoraTagLoader, SaveImage, Seed, SetNode, ttN text, VAEDecode, and VAELoader. The workflow also names Caching to not Waste, LoRA Tag Loader for ComfyUI, cg-use-everywhere, rgthree-comfy, tinyterraNodes, and WAS Node Suite.

Configuración

For shared LoRAs, set them in Lora Loader Stack (rgthree) to load them once during multi-generation runs.
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The workflow describes Caching to not Waste as caching many parts so future generations can skip many steps and avoid repeated model loading.
The workflow specifies an 8–12 inference-step range for the LCM LoRA.

Precauciones

Before using it, verify that the listed model files and node items are available in your ComfyUI setup.
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Example images are AI-generated and do not represent real people.

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Fuentes

1 fuente

CivitaiPrincipal

civitai.com/models/1626113

Verificado 19 jul

Extractos de fuentes

1 extracto

Note19 julcivitai.com/models/1626113

Source context: 258 downloads · Type Workflows · Base model SD 1.5