<h2 id="description-1nfgy12tp"><strong>Description  </strong></h2><p>This workflow generates images using the Flux diffusion model with a text looping mechanism. It allows users to iterate over multiple text prompts, combine them, and produce a series of images based on the looped prompts. The workflow is divided into groups for better organization: Text Looper, Combining Prompt, Image FLUX Generator, and Image Preview.  </p><p></p><h2 id="how-to-use-gmz2dnvbt"><strong>How to Use  </strong></h2><p>1. Load the Flux Model: Ensure the Flux model (`flux1-schnell-fp8.safetensors`) is loaded using the "CheckpointLoaderSimple" node.  </p><p>2. Set Up the Text Looper: Use the "Bjornulf_LoopTexts" node to define your text prompts and specify the number of iterations.  </p><p>3. Combine Prompts: Use the "Bjornulf_CombineTexts" node to merge individual prompts into a single conditioning input.  </p><p>4. Generate Images: Connect the combined prompts to the Flux generator workflow, which includes the "KSampler" and "VAEDecode" nodes.  </p><p></p><h2 id="tips:-awvhihykc"><strong>Tips:  </strong></h2><p>- Adjust the number of iterations in the "Bjornulf_LoopTexts" node to control the number of images generated.  </p><p>- Ensure the CFG scale is set to 1.0 since Flux does not support negative prompts.  </p><p>- Monitor resource usage, as Flux generation can be computationally intensive.  </p><h2 id="-xar20m8j6"></h2><h2 id="author-notes-3pdjb02ud"><strong>Author Notes  </strong></h2><p>This workflow leverages the Flux diffusion model (`flux1-schnell-fp8.safetensors`) for image generation. The text looping mechanism is powered by the "TextLooper" extension. Thank you to the developers of Bjornulf custom nodes for enabling this functionality.</p>

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