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FluxGuidance

Applies precision guidance to your conditioning like a GPS for your prompts.

πŸ” What is the FluxGuidance Node?​

The FluxGuidance node in ComfyUI is a control mechanism for tweaking how much β€œinfluence” your conditioning input has on the final output. It's essentially a volume knob for prompt fidelity β€” whisper or scream, the choice is yours.

This node accepts a conditioning input (from a CLIP/Text Encoder, for example) and applies a user-defined guidance value that adjusts how strongly the model listens to that input. Need pixel-perfect prompt-following? Crank it up. Want to let the model wander a little? Dial it down.

It’s commonly used in workflows involving FluxKontext, CLIP conditioning, or other latent-based image generation methods where balancing creative freedom and prompt control is critical.

FluxGuidance

πŸ§ͺ Real-World Use Cases​

  • Hyper-accurate Prompt Adherence:
    Ensure outputs follow your prompt like it’s the AI’s final exam.
  • Loosen the Reins for Creativity:
    Lower the guidance for more abstract or interpretive results.
  • Harmonize Multi-Conditioned Prompts:
    Use when blending two conditioning inputs (e.g., CLIP1 + CLIP2) and you need to weight one over the other.
  • Fine-tuning Style Consistency:
    Apply consistent guidance across multiple frames or renders to maintain coherent style in batch or video workflows.

βš™οΈ Inputs, Outputs, and Parameters​

πŸ”Œ Inputs​

NameTypeDescription
conditioningCONDITIONINGInput conditioning vector from a CLIP/Text encoder or another source. This is what you’re applying guidance to.
guidanceFLOATHow strongly to apply the conditioning input. See below for ranges and effects.

Pro tip: If you're piping in two sets of conditionings (like CLIP1 + CLIP2), you’ll need to run both through their own FluxGuidance nodes before combining.

πŸ”‹ Outputs​

NameTypeDescription
conditioningCONDITIONINGThe adjusted conditioning with the guidance applied. Ready to plug into your sampler or generation node.

πŸŽ›οΈ Parameters (in detail)​

ParameterTypeDefaultRangeDescription
guidanceFloat3.50.0 – 100.0Controls the strength of the conditioning. Affects how strictly your output sticks to the original prompt or concept.

πŸ“ˆ Guidance Behavior​

RangeBehavior
0.0 – 2.0Loose and creative. The model will interpret your prompt in unexpected ways. Useful for generative art or abstract workflows.
2.1 – 7.0Balanced results. Good fidelity without choking creativity. Great starting point for most workflows.
7.1 – 20.0Strict prompt control. Useful when you want exactness (portraits, product mockups, logos). Can reduce creative flair.
> 20.0Proceed with caution. Expect heavy overfitting, artifacts, or model stress β€” not all models play nice at this level.

🧱 Example Workflow Setup​

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[CLIPTextEncode] ↓ [FluxGuidance (guidance=6.0)] ↓ [Flux.1 Kontext Image Edit / T2I / Combine]

This is your go-to setup when you want to gently nudge your model to follow a prompt more closely β€” without handcuffing it.

✨ Prompting Tips​

  • Use high guidance for technical renders, logos, and faces.
  • Use low guidance for fantasy, surrealism, or dreamcore.
  • Try different values in 0.5 steps to find the sweet spot. Models and prompts react very differently.
  • Combine with dual CLIP setup and control guidance separately for interesting hybrid outputs.

πŸ”₯ What-Not-To-Do-Unless-You-Want-a-Fire​

  • Don’t max out guidance and expect miracles. Setting guidance = 100 is a great way to create AI-generated lava. Most models will cough up a mess of noise, streaks, or worse.
  • Don’t forget to connect your conditioning input. No input = no output. This isn’t a miracle node.
  • Don’t use this on already-guided outputs without intention. Doubling guidance can overcook your result.
  • Don’t assume all models respond the same way.** Some VAEs, LoRAs, or checkpoints have baked-in guidance tendencies. Always test first.

⚠️ Known Issues​

  • Very high guidance values (>20) can break some models or cause overfitting artifacts.
  • Some models react too strongly to mid-level guidance and lose balance β€” adjust carefully.
  • Doesn’t normalize conflicting conditionings β€” use separate FluxGuidance nodes if blending two sources.

πŸ“ Final Notes​

The FluxGuidance node gives you the steering wheel when it comes to conditioning strength β€” but just like driving, too much gas or too much brake leads to a crash.

Use it wisely to get the best from your prompts, whether you're generating a batch of consistent characters, abstract digital paintings, or product visuals. It’s lightweight, flexible, and powerful when used correctly.

And hey β€” if it starts generating images that look like glitchy spaghetti, you probably ignored the β€œdon’t set guidance to 100” advice.