AI Art Prompt Generator
Advanced Prompt Engineering tool for Midjourney v6, Stable Diffusion XL, and DALL-E 3. Features multi-parameter weighting, syntax translation, and a massive library of artistic styles and optical settings.
About
In the domain of generative artificial intelligence, the quality of the output is a deterministic function of the input syntax. This tool is not merely a randomizer; it is a Latent Space Navigator designed to reduce the entropy of generation results. By treating words as vectors within a high-dimensional semantic field, users can target specific aesthetic coordinates with high precision.
Professional prompting requires managing three distinct layers: the Semantic Layer (Subject, Action), the Style Layer (Medium, Artist, Era), and the Technical Layer (Lighting, Optics, Rendering Engine). A common error is token_bleeding, where style keywords inadvertently deform the subject. To prevent this, this generator utilizes strict syntax compartmentalization and token weighting (::), allowing the model to distinguish between what is being depicted and how it is depicted.
We address the problem of Model Hallucination by enforcing strict parameter constraints. Whether you are targeting the photorealism of Stable Diffusion XL or the stylized composition of Midjourney v6, accurate definition of aspect ratios (--ar), chaos values (--c), and negative prompts is mathematically essential for professional workflows.
Formulas
The generation process follows a weighted summation logic, where the final image vector I is the result of the prompt vector P guiding the denoising of a random tensor Z.
For Midjourney specifically, the syntax structure is parsed as:
Reference Data
| Parameter | Platform Syntax | Mathematical / Technical Function |
|---|---|---|
| Token Weight | text::2 | Multiplies the attention vector magnitude. If A=1 and B=2, the model prioritizes feature alignment with B by a factor of 2.0. |
| Negative Prompt | --no / Negative: | Defines a repulsion vector. The model moves the generation state away from these concepts in the latent space Rn. |
| Chaos / Diversity | --c 0-100 | Increases the variance ฯ2 of the initial noise grid. High chaos results in non-linear, unexpected compositional divergence. |
| Stylize | --s 0-1000 | A coefficient determining adherence to the model's internal aesthetic training versus the literal prompt. Low values (<100) equal strict literalism. |
| Stop Step | --stop 80 | Halts the diffusion process at 80% completion, often leaving a softer, hazier, or "unfinished" texture. |
| Seed | --seed int | Locks the pseudo-random number generator state. f(prompt, seed) = Constant. Essential for A/B testing changes. |
| Tile / Seamless | --tile | Forces boundary conditions where xleft ≈ xright and ytop ≈ ybottom for repeating textures. |