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  • Getting Set Up for Easy Negative Prompts with FLUX
    TL;DR: Setting up negative prompts with FLUX helps refine your image generation for cleaner results You’ll need a FLUX model, ComfyUI or Forge, and the sd-dynamic-thresholding extension Key settings: keep CFG Scale between 3-7, Interpolate Phi at 0 7-0 9, and use "Half Cosine Up" for Mimic Scale CFG Mode
  • FLUX. 1 DEV FP8 - with Negative Prompt (experimental)
    - CFG = 1 won't change much in negative This is one of the reasons why it's important to have a higher CFG if you want Flux to perform as well as possible in terms of prompt understanding - The sweet spot seems to be at CFG = 5, that's the minimum CFG where we got the most success
  • How to Write Negative Prompts in FLUX | by Amdad H - Medium
    Negative prompts are instructions that tell the AI what not to include in the generated image This feature is crucial for fine-tuning outputs and avoiding unwanted elements in the final image
  • Flux with CFG and negative prompts · GitHub
    ### with cfg (true_cfg > 1) and negative prompt: prompt = "an impressionist painting of a magnificant macaron" negative_prompt = "photo, photorealistic" torch manual_seed(0) pipe(prompt=prompt, negative_prompt=negative_prompt, true_cfg=4, guidance_scale=1) images[0] resize((512,512))
  • black-forest-labs FLUX. 1-dev · Input tokens limited
    This happens if your prompt is too long for CLIP Flux has a second, T5, text encoder that can handle up to 512 tokens, though (only 256 on Schnell) You have to explicitly pass this during the generation call with max_sequence_length=512
  • Negative prompt for FLUX. 1 [dev] is unsupported #204 - GitHub
    I use FLUX 1 [dev] model, flux1-dev-bnb-nf4-v2 (or GGUF format), select Clip l and T5xxl_enconly from UI, positive prompt work, negative prompt also work Actual Behavior Negative prompt is totally ignored Steps to Reproduce Try to generate image with negative prompt and without - result is the same Debug Logs
  • FLUX. 1: Efficient Negative Prompt | ComfyUI Workflow - OpenArt
    Although a method to apply Negative Prompts to the FLUX 1 model by adapting Dynamic Thresholding has emerged, there is a phenomenon where applying Negative Prompt drastically reduces the image generation speed





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