Workflow Name: FLUX GGUF LoRA
【Workflow Introduction】
After uploading an image, it combines the flux1 dev Q4 0.gguf model and the xlab_flux Realism2 lora model to perform image generation processing. Since the FLUX model has excellent text understanding capabilities, I included the text "FLUX GGUF LoRA" in the prompt. The built-in parameters have been set. Experience this process now and explore the creativity of combining these models, bringing a whole new experience to your image processing!

【Use Cases】
This workflow can quickly add text information to images, and the flux1 dev Q4 model has relatively fast processing speed. With this workflow, you can quickly embed the required information into images, saving tedious steps and bringing higher efficiency and convenience to your image processing. Try this workflow now and experience the convenience and efficiency of quickly adding information to images!

【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
Denoising: 0.7