Workflow name: FLUX GGUF+LoRA
[Workflow introduction]
After uploading an image, combine the flux1-dev-Q4 0.gguf model and the xlab_flux Realism2 lora model to perform image generation processing on the image. Since the FLUX model has excellent text understanding ability, I included the text "FLUX GGUF+LoRA" in the prompt word, and the built-in parameters have been set. Hurry up and experience this process to explore the creativity of combining these models and bring a new experience to your image processing!

[Use scenario]
This process can quickly add text information to the image, and the flux1-dev-Q4 model has a relatively fast processing speed. With this process, you can quickly embed the required information into the image, eliminating tedious steps and bringing higher efficiency and convenience to your image processing. Come and try this process and experience the convenience and efficiency of quickly adding information to the image!

[Key nodes]
flux1-dev-Q4 0.gguf

[Model version]
FLUX
Model name: flux1-dev-Q4 0.gguf

[LoRA model]
Model name: xlab_flux Realism2 lora.safetensors

[ControlNet application]
None

[Custom sampler (advanced)]
Sampling method: euler
Scheduler: simple
Noise reduction: 0.7