Veo 3 Psychedelic Visuals: AI Video Art Tutorial

1. Executive Summary and Strategic Overview
The convergence of generative artificial intelligence and abstract expressionism has reached a definitive inflection point with the public release of Google’s Veo 3. While the preceding generation of video models—including Runway Gen-2 and Pika—focused primarily on the stabilization of narrative content and photorealism, Veo 3 introduces a distinct architectural paradigm centered on high-fidelity physics simulation, deep semantic prompt adherence, and, critically, native audio-visual synthesis. This report provides an exhaustive technical and creative analysis of Veo 3, specifically tailored for digital artists, Video Jockeys (VJs), motion designers, and experimental filmmakers seeking to generate high-resolution, non-objective, and psychedelic imagery.
The strategic significance of Veo 3 for the abstract artist lies in its ability to manage "controlled chaos." In the domain of psychedelic art, the primary challenge with generative adversarial networks (GANs) and early diffusion models was "concept drift"—the tendency of the model to inadvertently resolve abstract textures into recognizable objects (e.g., a fractal pattern collapsing into a literal flower). Veo 3, powered by a sophisticated Video VQ-VAE (Vector Quantized Variational Autoencoder) and joint audio-video latent diffusion architecture, exhibits superior prompt adherence scores. This capability allows artists to maintain abstraction over extended sequences, rendering complex mathematical concepts such as non-Euclidean geometry and recursive Mandelbrot sets with cinema-grade temporal coherence.
Furthermore, the introduction of "Ingredients to Video"—a feature allowing for image-based style anchoring—and native audio generation transforms the workflow from a slot-machine-style randomization process into a directable, reproducible creative pipeline. This report details the technical methodologies for exploiting these features, creating a comprehensive guide to turning random noise into intentional, high-fidelity masterpieces suitable for 4K projection and immersive installation.
2. Why Veo 3 is a Game-Changer for Abstract & Psychedelic Art
The transition from Veo 2 to Veo 3 represents not merely an iterative update but a fundamental re-engineering of the generative video pipeline. For the abstract artist, this distinction is critical. Psychedelic art relies on specific visual tropes—fluid dynamics, iridescence, recursive geometry, and impossible physics—that require a model to understand not just the appearance of a texture, but the laws governing its movement.
2.1 The Technical Leap: Video VQ-VAE and Temporal Consistency
At the core of Veo 3’s superiority is its underlying architecture, which utilizes a compressed latent space representation for both video and audio. In standard pixel-space diffusion models, video generation often occurs frame-by-frame or in short temporal windows, leading to a phenomenon known as "temporal flickering" or "boiling," where textures shift randomly between frames. While this artifacting can be aesthetically pleasing in "glitch art," it is detrimental to high-end psychedelic visuals, which demand smooth, hypnotic flows to induce a trance-like state in the viewer.
Veo 3 addresses this through Spatio-Temporal Video Latents. By compressing the video into a latent representation that encodes time as a continuous dimension rather than a discrete sequence of images, the model can "plan" the motion of a fluid or fractal across the entire generation window. This results in smooth, continuous transformations essential for the "morphing" effects central to psychedelic aesthetics. The model’s transformer-based denoising network is optimized to remove noise from these latent vectors iteratively, ensuring that a "melting clock" transitions fluidly rather than jumping between states.
Table 1: Architectural Comparison for Abstract Generation
Feature | Standard Diffusion Models (e.g., SD Video) | Google Veo 3 (Latent Diffusion) | Impact on Psychedelic Art |
Temporal Processing | Frame-dependent or short context windows. | Spatio-temporal video latents. | Enables long, smooth loops without jittery artifacts; essential for hypnotic backgrounds. |
Physics Engine | Approximates motion based on visual training data patterns. | Simulates real-world fluid dynamics and lighting. | "Melting" objects flow with correct viscosity; light refracts realistically through "glass" fractals. |
Prompt Adherence | Low; tends to revert to training mean (e.g., recognizable objects). | High; adheres to abstract concepts without forcing realism. | Maintains "Non-Euclidean geometry" without forcing it into a standard 3D room shape or recognizable object. |
Audio Synthesis | None or separate generation processes. | Joint audio-video latent diffusion. | Audio cues (whooshes, drones) match the visual velocity and intensity perfectly, creating synesthesia. |
Resolution | Typically 1080p or lower native. | Native 1080p, up to 4K via upscaling/enhancement. | Critical for large-scale projection mapping and LED walls used by VJs. |
2.2 Beyond Hallucinations: Controlled Chaos with Veo
In the context of Large Language Models (LLMs), "hallucination" refers to the generation of false information. In psychedelic art, however, hallucination is the objective. The artist seeks to create imagery that defies conventional logic—colors that possess sound, shapes that are geometrically impossible, and textures that do not exist in nature. The challenge lies in controlling this hallucination.
Veo 3’s high prompt adherence is vital here. Unlike competitors that may ignore complex adjectives in favor of simple nouns, Veo 3 demonstrates a robust understanding of abstract descriptors. For example, when prompted for a "bioluminescent ferrofluid reacting to magnetic waves," lesser models might render generic "glowing blue water." Veo 3, trained on a dataset rich in physics simulations and diverse imagery, renders the characteristic spiky, magnetic behavior of ferrofluid while accurately applying the bioluminescent texture. This suggests a deeper semantic understanding of material properties within the model's latent space.
Furthermore, the architecture supports negative constraints, allowing artists to suppress the model's bias toward realism. By using negative prompts such as (no photorealism), (no humans), (no text), (no recognizable objects), artists can force the model to remain in the abstract realm. This prevents the "pareidolia effect," where the AI attempts to find faces or figures in random noise, ensuring the output remains purely abstract.
2.3 The Power of Native Audio Generation
Psychedelic art is inherently experiential and multisensory. Veo 3 introduces a paradigm shift by generating audio natively alongside the video. This is not a post-process add-on where an AI analyzes the video and picks a sound; the audio waveforms are generated from the same latent understanding as the pixels.
Research indicates that Veo 3’s audio generation is context-aware and synchronized. If the visual prompt describes "crashing neon waves," the audio will generate the white noise of crashing water, potentially modulated by the "neon" descriptor to sound more synthetic or electric. This "Audio-Visual Synesthesia" allows VJs to generate backing tracks that are frame-perfectly synced to the visual intensity. For instance, a "pulsing mandala" prompt will likely generate a rhythmic, pulsing audio track, creating a cohesive sensory experience without manual editing. The implications for immersive installations are profound, allowing for the rapid generation of audiovisual landscapes where the sonic texture is mathematically linked to the visual topology.
3. Mastering the "Psychedelic" Prompt Framework for Veo
Prompting for abstract art requires a vocabulary distinct from that used for narrative video. Standard "Subject + Verb" structures (e.g., "A man walks down the street") are ineffective because abstract art often lacks a defined subject. Instead, the prompt engineer must describe texture, behavior, atmosphere, and physics.
3.1 The Keyword Dictionary for Veo Abstracts
To fully exploit Veo 3’s capabilities, one must utilize keywords that trigger its high-end rendering and physics engines. The following categories and keywords are essential for constructing high-fidelity psychedelic prompts.
Table 2: The Veo 3 Abstract Keyword Dictionary
Category | Keywords | Visual Effect in Veo 3 |
Material/Texture | Ferrofluid, Iridescent, Bismuth crystals, Liquid Chrome, Aerogel, Vantablack, Dichroic glass, Bioluminescent slime, Pearlescent epoxy. | Triggers specific light interaction properties (reflection, refraction, subsurface scattering). |
Geometry/Form | Non-Euclidean, Mandelbrot set, Fractal, Tessellation, Moiré pattern, Kaleidoscopic, Recursive, Hyperbolic space, Strange loop, Penrose triangle. | Forces the model to abandon standard 3D perspective in favor of mathematical or impossible geometries. |
Motion/Physics | Viscous flow, Turbulent, Laminar flow, Morphing, Melting, Sublimating, Imploding, Oscillating, Brownian motion, Reaction-diffusion. | Utilizes Veo’s physics engine to dictate how the pixels move. "Viscous" creates slow, thick movement; "Turbulent" creates chaotic speed. |
Lighting | Volumetric lighting, Ray tracing, Caustics, Neon refraction, Blacklight, Ultraviolet, Stroboscopic, Global illumination. | Adds depth and realism to the abstraction, preventing it from looking flat or 2D. Essential for "immersive" feel. |
Concept/Vibe | Synesthesia, Hypnagogic, Eldritch, Ethereal, Cybernetic, Glitch art, Datamosh, Vaporwave, Dreamcore. | Sets the overall mood and interpretive lens for the AI, influencing color palette and pacing. |
3.2 Structuring the Prompt: Syntax for Surrealism
A successful Veo 3 prompt for abstract art follows a specific syntax that establishes the "Material" as the subject and the "Physics" as the action. This structure ensures the model focuses on the quality of the movement and the nature of the substance rather than looking for a narrative character.
The Formula:
+ [Movement/Physics] + + [Lighting/Color Engine] + [Cinematic Constraints] + [Audio Constraints]
Example 1: The Liquid Mirror
"Viscous liquid chrome flowing upwards defying gravity, forming recursive fractal droplets. The surface reflects a neon pink and teal void. Macro lens, shallow depth of field, 8k resolution, ray-traced reflections, slow motion cinematic movement. Audio: Deep resonant drone, liquid bubbling sounds, ethereal synthesizer."
Analysis: "Viscous liquid chrome" gives the AI a material reference with high reflectivity. "Flowing upwards" utilizes the physics engine but inverts gravity, creating a surreal effect. "Recursive fractal droplets" ensures the detail level remains high even in small elements, leveraging the model's ability to render complex geometries.
Example 2: The Biological Machine
"Bioluminescent fungal network pulsing with rhythmic light, growing rapidly in time-lapse. Deep purple and electric blue color palette. Subsurface scattering, organic textures, 3D render, Unreal Engine 5 style, hyper-detailed. Audio: Organic growing sounds, rhythmic heartbeat, wet squishing noises."
Analysis: "Subsurface scattering" is a key technical term that tells the renderer to simulate light passing through the object, creating a realistic "glowing from within" look common in high-end psychedelic visuals. The specific audio cues ensure the soundscape matches the organic, biological visual theme.
Example 3: The Geometric Void
"Infinite kaleidoscope of crystalline structures rotating in 4D space. Non-Euclidean geometry, refracting prismatic light. Sharp edges, clear glass texture, caustics. Cinematic wide shot, slow dolly forward. Audio: Crystalline chiming, glass shattering in reverse, high-pitched sine waves."
Analysis: This prompt targets the "Geometry/Form" and "Lighting" categories heavily. "Non-Euclidean" and "4D space" challenge the model to produce visuals that defy standard spatial logic, while "caustics" ensures realistic light play through the glass-like structures.
3.3 Negative Prompting Strategies
To ensure purity in abstraction, negative prompts are vital. Veo 3 allows for negative constraints to filter out unwanted training data biases. Without these, the model may attempt to "ground" the abstract visual in reality, inserting horizons, trees, or human figures.
Anti-Realism:
(no photorealistic landscapes), (no trees), (no buildings), (no sky), (no horizon line).Anti-Human:
(no humans), (no faces), (no eyes), (no hands), (no silhouettes), (no body parts).Anti-Artifact:
(no blur), (no compression artifacts), (no low resolution), (no text), (no watermarks), (no subtitles).
By rigorously applying these negative prompts, the user forces the AI to fill the latent space with the requested abstract concepts rather than defaulting to "safe" imagery like sunsets or forests. This is particularly important when using descriptors like "organic" or "biological," which can otherwise trigger the generation of anatomical features.
4. Leveraging "Ingredients to Video" for Style Consistency
One of the most significant challenges in generative video is "Style Drift." A 4-second clip might start as a Van Gogh painting and end looking like a photograph. Veo 3’s "Ingredients to Video" feature addresses this by allowing users to upload reference images that anchor the visual generation. This is the "secret sauce" for professional-grade consistency.
4.1 Using Reference Images to Anchor the Vibe
For psychedelic art, "Ingredients" allow for curated artistic direction. Instead of relying solely on text, an artist can generate a static image in Gemini 3 Pro Image (Nano Banana) or Midjourney that perfectly captures the desired complexity and color palette. This image is then uploaded as a "Style Ingredient" in Veo 3.
Workflow:
Generate Source Image: Create a highly detailed fractal image using a text-to-image tool. Ensure it has the color density, texture, and composition you want in the final video.
Upload to Veo: In the "Ingredients" panel, upload this image. Veo 3 supports up to three reference images, allowing you to combine different elements (e.g., one image for color palette, one for structure).
Prompt for Animation: In the text prompt, describe the motion of the image rather than the image itself.
Prompt: "Animate this fractal pattern rotating slowly clockwise. The colors shift and cycle through the spectrum. Maintain the intricate details of the reference image. Audio: Slow, hypnotic ambient texture."
Result: Veo 3 generates a video that looks exactly like the source image but moving. This allows for curated artistic direction rather than random generation, ensuring that the final output aligns with the artist's vision.
Advanced Tip: Use multiple ingredients. You can upload a "Structure" reference (e.g., a geometric wireframe) and a "Style" reference (e.g., an oil painting texture). Veo 3 will attempt to map the style onto the structure, creating a hybrid aesthetic.
4.2 Maintaining Loopability for VJs
Visual Jockeys (VJs) require loops—videos that can play seamlessly forever. Veo 3’s "First and Last Frame" feature is a breakthrough for this. Standard AI video generation often produces clips with disparate start and end points, making seamless looping impossible without jarring cuts or extensive cross-dissolving in post-production.
The Infinite Loop Workflow:
Select Reference Image: Choose your abstract image (Image A).
Set Inputs: Set Image A as the "First Frame" ingredient.
Set Inputs (Crucial Step): Set the same Image A as the "Last Frame" ingredient.
Prompt: "A continuous morphing journey where the shapes distort, rotate, and evolve, finally resolving back into the original form. Seamless transition."
Outcome: Veo 3 calculates a trajectory through the latent space that begins at Image A, travels through the variations defined by the prompt, and force-converges back to Image A at the final frame.
Result: A perfectly seamless loop. When played on repeat in VJ software (Resolume, VDMX), there is no visible cut. This technique solves the "jump cut" problem inherent in most AI video generators and allows for the creation of hours of seamless background visuals from a single source image.
5. Advanced Techniques: Physics, Morphing, and Transitions
Psychedelic visuals often mimic fluid dynamics or biological growth. Veo 3’s physics simulation capabilities allow for "impossible" movements that feel grounded in reality. This "grounded surrealism" is a hallmark of high-end abstract art.
5.1 Simulating Fluid Dynamics and Particle Systems
Unlike simple morphing, Veo 3 can simulate viscosity, gravity, and particle interactions.
Prompting for Viscosity: Use terms like "honey-like flow," "viscous lava," "heavy mercury," or "watery ink." The model adjusts the frame-to-frame motion vectors to match the described resistance. A "heavy mercury" prompt will result in slow, globular movement with high surface tension, while "watery ink" will diffuse rapidly and chaotically.
Prompting for Particles: "Millions of tiny glowing particles swirling in a vortex," "dust motes in a light beam," or "point cloud data." Veo 3 renders individual points of light with consistent trajectories, creating a cohesive "swarm" effect rather than random noise.
Research Insight: Veo 3’s training data likely includes 3D simulations and fluid dynamics renders. By invoking technical terms like "Reynolds number" (a fluid mechanics term describing flow patterns) or "Laminar flow" (smooth, parallel layers of fluid), users have reported higher fidelity in liquid simulations, suggesting the model recognizes technical physics vocabulary.
5.2 Controlling the "Trip": Speed and Intensity
The "intensity" of a psychedelic visual is controlled by the rate of change (Delta) in the latent space. This corresponds to the "visual intensity" concept in perception research.
Slow/Hypnotic: Prompt for "Slow motion," "Gradual shift," "Imperceptible change," "Drifting." This generates "breathing" visuals suitable for chill-out rooms or ambient backdrops.
Fast/Chaotic: Prompt for "Fast paced," "Rapid transformation," "Stroboscopic cuts," "Hyperlapse," "Glitch." This generates high-energy visuals for peak-time dancefloors.
Camera Movement as a Modifier:
Using cinematic camera terms controls the viewer's journey through the abstraction.
Dolly Zoom (Vertigo Effect): "Camera zooms in while moving backwards." Creates a warping sense of depth and disorientation.
Fly-through: "Camera flying rapidly through an infinite tunnel of fractals." Creates a sense of speed and immersion.
Rotation: "Camera rotating 360 degrees around the center." Adds dynamism to static geometric shapes.
5.3 Morphing and Object Transitions
Psychedelia often involves one object turning into another (e.g., a flower turning into a galaxy). This transformation, or metamorphosis, is a core element of the psychedelic experience.
The Morph Prompt Structure:
"A smoothly transforms into a [End Object]. The transformation is organic and fluid. The texture shifts from to."
Example: "A blooming rose made of crystal smoothly morphs into a swirling spiral galaxy. The petals dissolve into stars. 8k resolution, cinematic lighting. Audio: Glass cracking transitioning into deep space hum."
Veo 3’s temporal consistency ensures that this morph happens gradually over the generated timeframe (e.g., 8 seconds), rather than a sudden cut. This allows for the creation of narrative visual journeys where the environment constantly evolves.
6. Workflow: From Veo 3 Generation to Final Render
Veo 3 is the generator, but the art happens in the edit. The raw output from Veo 3 is the "dailies" of the AI production process; the final polish requires a professional post-production workflow, especially for exhibition on large screens (festivals, projectors).
6.1 Upscaling and Resolution Management
Veo 3 natively supports up to 4K resolution, but in many preview/fast modes (or depending on server load/region), it may default to 1080p. For a massive LED wall or 4K projection, 1080p is insufficient. Upscaling is necessary to achieve the crispness required for large-format display.
The Upscaling Pipeline:
Generate: Create the clip in Veo 3 at the highest available resolution (Priority Mode).
Export: Download the MP4 file (ensure high bitrate).
Upscale: Use Topaz Video AI.
Model Selection: For abstract/CGI art, the "Proteus" or "Gaia CG" models are superior to standard models. They are trained to preserve hard edges (fractals) and reduce noise without smoothing out fine texture details. "Artemis" models can sometimes over-smooth abstract textures, making them look waxy.
Settings: Set output to 4K (3840x2160). Add a slight grain (0.5-1.0) to dither the digital gradients and prevent "banding" on large screens. This is crucial for abstract art with smooth color gradients.
6.2 Frame Rate Interpolation
Veo 3 typically generates at 24fps. For ultra-smooth electronic music visuals, 60fps is often preferred.
Topaz Video AI (Chronos Model): Use the "Chronos" or "Apollo" models to interpolate 24fps to 60fps. These models use optical flow to generate new intermediate frames, making the motion of fluids and fractals appear incredibly buttery and smooth. This is particularly effective for "slow motion" prompts, enhancing the hypnotic quality of the visual.
6.3 Editing Native Audio
Veo 3 exports a single video file with embedded audio. To maximize the impact, this audio should be treated as a separate stem.
Extraction: Use a tool like Audacity, Adobe Audition, or online extractors like Podcastle to strip the audio track from the video.
Enhancement: The native audio might be "atmospheric" but lack punch. In a DAW (Digital Audio Workstation like Ableton Live):
Add Reverb and Delay to widen the stereo field.
Layer the Veo-generated "swooshes" over a rhythmic beat.
Use the Veo audio as a "texture" layer rather than the main track.
Synesthetic Editing: If the video has a strong "pulse," align your music’s kick drum to that pulse in the editor. This reinforces the audio-visual connection and creates a tighter, more professional final product.
7. Comparative Analysis: Veo 3 vs. The Market
To understand Veo 3’s place in the toolset of an abstract artist, we must compare it to its peers—Runway Gen-3 Alpha and OpenAI Sora—specifically in the context of abstract art generation.
Table 3: Model Comparison for Psychedelic Art
Feature | Google Veo 3 | Runway Gen-3 Alpha | OpenAI Sora |
Physics/Fluid Simulation | Excellent. Understands viscosity, light refraction, and complex particle systems. | Good, but occasionally defies physics in unpredictable ways. | Very high, but access is currently limited and expensive. |
Control ("Motion Brush") | Limited localized control compared to Runway. Relying on prompt and "Ingredients". | Superior. "Motion Brush" allows painting specific areas to move, offering granular control over which part of the image melts. | N/A (publicly available features are limited). |
Audio | Native & Synced. Best in class for audio-visual generation. Creates soundscapes from prompts. | None (silent generation). Requires external AI audio tools. | None (silent generation). |
Looping | Excellent. "First and Last Frame" feature makes perfect loops easy and accessible. | Requires manual editing/crossfading or complex workflows. | Possible via prompts but less reliable and controllable. |
Resolution | 4K (Native/Upscaled). | 1080p (Native). | 1080p (Native). |
Conclusion: Runway Gen-3 is better if you need to "direct" specific parts of the screen (e.g., "make only the left side of the screen melt"). However, Veo 3 is superior for overall coherence, physics simulation, native audio, and seamless looping—the four pillars of high-quality psychedelic visuals. For VJs and abstract artists who prioritize flow, atmosphere, and seamless integration, Veo 3 is the tool of choice.
8. SEO & Strategy Overview (Internal Report)
Target Audience Analysis:
The primary users for this workflow are Digital Artists, VJs (Video Jockeys), and Motion Designers. These users are technically literate but often overwhelmed by the randomness of AI. They crave control and quality.
Pain Point: "AI video flickers too much" -> Solution: Veo 3's temporal consistency.
Pain Point: "I can't make it loop" -> Solution: Veo 3's First/Last Frame feature.
Pain Point: "It looks generic" -> Solution: Ingredients to Video + Complex Prompting + Negative Prompts.
Keyword Strategy:
Primary: "Psychedelic Visuals AI", "Google Veo 3 Abstract Art", "Veo 3 Prompt Guide".
Secondary: "AI Video Looping", "Generative Audio Video", "Topaz Upscaling AI Video", "Trippy Backgrounds 4K", "Veo 3 Ingredients to Video".
Long-Tail: "How to make ferrofluid video with AI", "Non-Euclidean geometry prompts Veo", "Best AI for music video visuals".
Featured Snippet Optimization:
The article is structured to capture the "How To" snippet with the numbered lists in Section 4 (Looping) and Section 6 (Upscaling). The "Keyword Dictionary" (Table 2) is designed to be highly shareable content for social media (Save this Cheat Sheet!), driving traffic and engagement.
9. Conclusion
Google Veo 3 represents a maturing of generative video from a novelty to a professional tool. For the abstract artist, it offers a digital canvas where the laws of physics can be simulated, bent, and broken at will. By mastering the prompt syntax of "Material + Physics," leveraging reference images for style anchoring, and utilizing native audio for synesthetic effect, creators can produce psychedelic visuals that are not just "trippy," but technically profound and artistically intentional. The era of random AI noise is over; the era of directed AI hallucination has begun.
Recommended Next Steps for Researchers:
Experiment with the JSON prompt structure via the Gemini API for even more granular control over camera movement and timing.
Investigate the Vertex AI implementation for batch generation of visuals (e.g., generating 100 variations of a fractal loop overnight).
Explore Audio-Reactive prompting—testing if specific musical terms ("120bpm", "Techno") influence the visual pacing of the generation.
10. Extended Technical Appendix: Deep Research on Veo 3 Architecture
10.1 The Latent Diffusion Mechanism
Veo 3 builds upon the transformer-based diffusion architecture. Unlike pixel-based diffusion (which is computationally expensive and prone to high-frequency noise), Veo 3 operates on compressed latents.
Temporal Latents: The model encodes a sequence of frames into a single spatio-temporal latent block. This means the model "plans" the motion of the liquid or fractal across the entire 8 seconds before decoding it back to pixels. This is why Veo 3 videos feel "smoother" than frame-by-frame generators—the motion is calculated globally, not locally.
Joint Audio-Video Attention: The transformer attention mechanism attends to both video patches and audio tokens simultaneously. This is the technical reason why a "loud" visual event (explosion) generates a "loud" audio event—they are tokenized together in the attention map.
10.2 Prompt Adherence Benchmarks
Internal benchmarks and user reports suggest Veo 3 has a higher "Instruction Following" score compared to Gen-2. In the context of abstract art, this means if you ask for "Non-Euclidean," it will attempt to render impossible geometry. If you ask for "Mandelbrot," it will render the specific mathematical set, rather than just "colorful swirls." This semantic precision is critical for artists trying to visualize specific mathematical or scientific concepts.
10.3 JSON Prompting for API Users
For advanced users integrating Veo 3 into automated workflows (e.g., a VJ app that generates visuals on the fly), the Gemini API accepts JSON payloads.
Structure: You can define
scenes,camera_motion, anddialoguein structured JSON.Application: A script could randomly pull "Texture" and "Motion" keywords from a database, construct a JSON prompt, and send it to Veo 3, creating an endless stream of unique psychedelic visuals without human intervention.


