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Lumina 2 Test: Compare with SD 1.5, SDXL and FLUX

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This workflow compares the performance and output quality of Lumina 2 (Alpha VLLM) with Stable Diffusion 1.5, SDXL, and FLUX, using Realistic Vision 5 (SD 1.5), RealVis 5 SDXL, and Flux Dev as base models.

It supports both text-to-image (txt2img) and image-to-image (img2img) generation, allowing users to test different input methods across the models. Each node's execution time is tracked, providing insights into performance differences between Lumina 2, SD 1.5, SDXL, and FLUX.

This workflow is ideal for benchmarking different AI models, comparing realism and coherence in generations, and evaluating processing speeds for different pipelines.

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  • - latest (10 months ago)

Primitive Nodes (9)

ModelSamplingAuraFlow (1)

PrimitiveNode (2)

Switch latent [Crystools] (4)

easy mathInt (2)

Custom Nodes (48)

ComfyUI

  • - CLIPTextEncode (8)

  • - UNETLoader (1)

  • - DualCLIPLoader (1)

  • - CheckpointLoaderSimple (3)

  • - VAELoader (3)

  • - VAEDecode (4)

  • - VAEEncode (4)

  • - PreviewImage (1)

  • - EmptyLatentImage (1)

  • - LoadImage (1)

ComfyUI Essentials

  • - ImageCrop+ (4)

  • - ToBasicPipe (4)

  • - ImpactMakeImageBatch (1)

  • - ImpactKSamplerBasicPipe (4)

  • - TY_ExecutionTime (1)

  • - ImagesGridByRows (1)

  • - GridAnnotation (1)

  • - ImageResizeKJ (2)

  • - EmptyLatentImagePresets (1)

  • - Text Multiline (2)

Checkpoints (3)

RealVisXL_V5.0_fp16.safetensors

Realistic_Vision_V6.0_NV_B1.safetensors

lumina_2.safetensors

LoRAs (0)