FluxGuidance
Applies precision guidance to your conditioning like a GPS for your prompts.
π What is the FluxGuidance Node?β
The FluxGuidance
node in ComfyUI is a control mechanism for tweaking how much βinfluenceβ 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.
Itβs commonly used in workflows involving FluxKontext, CLIP conditioning, or other latent-based image generation methods where balancing creative freedom and prompt control is critical.
π§ͺ Real-World Use Casesβ
- Hyper-accurate Prompt Adherence:
Ensure outputs follow your prompt like itβs the AIβs 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.
βοΈ Inputs, Outputs, and Parametersβ
π Inputsβ
Name | Type | Description |
---|---|---|
conditioning | CONDITIONING | Input conditioning vector from a CLIP/Text encoder or another source. This is what youβre applying guidance to. |
guidance | FLOAT | How 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), youβll need to run both through their own
FluxGuidance
nodes before combining.
π Outputsβ
Name | Type | Description |
---|---|---|
conditioning | CONDITIONING | The adjusted conditioning with the guidance applied. Ready to plug into your sampler or generation node. |
ποΈ Parameters (in detail)β
Parameter | Type | Default | Range | Description |
---|---|---|---|---|
guidance | Float | 3.5 | 0.0 β 100.0 | Controls the strength of the conditioning. Affects how strictly your output sticks to the original prompt or concept. |
π Guidance Behaviorβ
Range | Behavior |
---|---|
0.0 β 2.0 | Loose and creative. The model will interpret your prompt in unexpected ways. Useful for generative art or abstract workflows. |
2.1 β 7.0 | Balanced results. Good fidelity without choking creativity. Great starting point for most workflows. |
7.1 β 20.0 | Strict prompt control. Useful when you want exactness (portraits, product mockups, logos). Can reduce creative flair. |
> 20.0 | Proceed with caution. Expect heavy overfitting, artifacts, or model stress β not all models play nice at this level. |
π§± Example Workflow Setupβ
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[CLIPTextEncode] β [FluxGuidance (guidance=6.0)] β [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.
β¨ Prompting Tipsβ
- 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.
π₯ What-Not-To-Do-Unless-You-Want-a-Fireβ
- Donβt 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. - Donβt forget to connect your conditioning input. No input = no output. This isnβt a miracle node.
- Donβt use this on already-guided outputs without intention. Doubling guidance can overcook your result.
- Donβt assume all models respond the same way.** Some VAEs, LoRAs, or checkpoints have baked-in guidance tendencies. Always test first.
β οΈ Known Issuesβ
- 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.
- Doesnβt normalize conflicting conditionings β use separate
FluxGuidance
nodes if blending two sources.
π Final Notesβ
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. Itβs lightweight, flexible, and powerful when used correctly.
And hey β if it starts generating images that look like glitchy spaghetti, you probably ignored the βdonβt set guidance to 100β advice.