> ## Documentation Index
> Fetch the complete documentation index at: https://docs.pornx.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Advanced prompting techniques

> Master token weights, negative prompts, emphasis syntax, and common failure modes to get more control over PornX image generation.

This page assumes you're comfortable with basic prompt structure. See [Prompting Basics](/prompting/basics) first if you haven't.

## Token weights

Add emphasis to a specific term by wrapping it in parentheses with a multiplier: `(term:1.3)`

* Default weight is 1.0
* Above 1.0 increases influence — `(big breast:1.4)`
* Below 1.0 reduces influence — `(clothing:0.6)`
* Stay between 0.5 and 1.5 — outside that range the model produces artifacts

You can stack weights: `(long red hair:1.3), (pale skin:1.2), (black lingerie:0.8)`

**Good:** `a woman, (detailed face:1.3), soft studio light, photorealistic`

**Bad:** `a woman, (beautiful:2.0), (perfect:2.0), (amazing:2.0)` — stacking high weights on vague sentiment terms produces oversaturated, distorted output.

## Negative prompts

Open the **Advanced** toggle to access the negative prompt field.

Negatives tell the model what to exclude from the output. Use them to fix recurring problems rather than as a general quality filter.

**Useful negatives by problem:**

| Problem                | Negative terms                                                  |
| ---------------------- | --------------------------------------------------------------- |
| Deformed hands         | `deformed hands, extra fingers, missing fingers, fused fingers` |
| Bad anatomy            | `bad anatomy, malformed body, extra limbs`                      |
| Flat lighting          | `flat lighting, overexposed, washed out`                        |
| Unwanted text          | `text, watermark, signature, logo`                              |
| Blurry output          | `blurry, out of focus, low resolution`                          |
| Clothing when unwanted | `clothing, dressed, covered`                                    |

Keep the negative prompt under ten terms. Beyond that the model treats the entire negative as low-priority and ignores it.

## Token order

The model weights tokens that appear earlier in the prompt more heavily. Use this deliberately:

* Put the subject and the most important visual elements first
* Put style, quality tags, and camera settings last
* If two elements conflict, whichever appears first usually wins

**Example — subject first:**
`a woman, red hair, pale skin, black lingerie, sitting on a bed, soft window light, shallow depth of field, photorealistic, high detail`

**Example — quality tags first (wrong):**
`photorealistic, high detail, 8k, a woman, red hair` — the model treats the quality tags as the primary subject and the actual subject as secondary.

## Combining LoRAs with weighted prompts

When using a LoRA, add trigger words at the start of the prompt before other descriptors, then use weights to balance LoRA influence against the rest:

`<lora:64:0.6>, big breast, pink nipples, (a woman:1.0), dark hair, hotel room, soft light, photorealistic`

If the LoRA overpowers the composition, reduce its weight. If it's not visible, increase it — but stay below 0.9.

## Common failure modes

<AccordionGroup>
  <Accordion title="Hands and fingers are deformed">
    Add `deformed hands, extra fingers, missing fingers, fused fingers` to the negative prompt. For close-up hand shots, also add `(hands:0.8)` in the positive prompt to reduce the model's focus on them.
  </Accordion>

  <Accordion title="The output ignores part of the prompt">
    The prompt is too long or has conflicting terms. Cut it down to the ten most important elements and remove any redundant quality tags. Check token order — critical elements should be first.
  </Accordion>

  <Accordion title="The output looks oversaturated or distorted">
    Token weights are too high. Bring everything above 1.3 back down to 1.1–1.2 and regenerate.
  </Accordion>

  <Accordion title="Style and content conflict">
    The model and the style tags disagree. If you're using Realism, drop anime or illustration style tags entirely — they confuse the model rather than blending styles.
  </Accordion>
</AccordionGroup>

<CardGroup cols={2}>
  <Card title="Prompting Basics" icon="text" href="/prompting/basics">
    Prompt structure and element order.
  </Card>

  <Card title="Model-specific tips" icon="lightbulb" href="/prompting/model-specific">
    Per-model prompting quirks.
  </Card>
</CardGroup>