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| ai:flux2 [2026/04/29 00:07] – [Mythic] mh | ai:flux2 [2026/06/30 22:45] (current) – mh | ||
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| ===== General ===== | ===== General ===== | ||
| - | Flux.2 **prioritizes | + | Flux.2 **prioritizes |
| - | It exhibits **extreme subject isolation**, minimal context injection, and highly controlled composition under all conditions. | + | It exhibits **solid baseline competence** across portraits, neutral bodies, simple objects, interiors, landscapes, atmospheric scenes, materials, and physics-style prompts. |
| - | The model **refuses to invent environment**, requiring explicit instructions to introduce surrounding elements | + | The model **performs best when the task is concrete and visually bounded**, especially with objects, macro photography, |
| - | **Lighting is treated as a localized system**, affecting illumination without altering scene semantics | + | **Human motion, hands, hybrid anatomy, city logic, extreme scale, and fashion energy are more fragile**, often becoming stiff, artificial, composited, overly illustrative, |
| + | |||
| + | **Outputs are stable and often usable**, but **the model tends to fall into generic realism, 3D-rendered fantasy, or 2D illustration modes** when the prompt leaves too much interpretive space. | ||
| - | **Outputs are highly stable**, predictable, | ||
| ==== Main DNA Traits ==== | ==== Main DNA Traits ==== | ||
| - | === 🧬 Instructional Rigidity | + | === 🧬 Literal Construction |
| + | |||
| + | The model follows prompt categories directly and builds clear visual answers without much semantic expansion. | ||
| + | |||
| + | //It gives you what was asked, but rarely adds a hidden layer of intent// | ||
| - | The model adheres strictly to prompt content and avoids extrapolating beyond what is explicitly described. | + | === 🧬 Concrete Subject Strength === |
| - | //It does not “complete | + | The model is strongest when the prompt has a clear object, material, atmosphere, or bounded visual problem to solve. |
| - | === 🧬 Subject Isolation === | + | //Objects, surfaces, particles, patterns, and simple scenes are safer ground than complex living systems// |
| - | The primary object remains dominant, centered, and visually protected under all conditions, with minimal environmental interference. | + | === 🧬 Fragile Complexity === |
| - | === 🧬 Anti-Entropy Bias === | + | The model weakens when it must resolve dynamic anatomy, real urban logic, impossible scale, layered storytelling, |
| - | The model resists disorder and reorganizes or suppresses chaos to preserve clarity and readability. | + | // |
| ==== Strengths ==== | ==== Strengths ==== | ||
| * perfect for: | * perfect for: | ||
| - | * controlled reference generation | + | * object studies |
| - | * clean asset extraction | + | * macro photography |
| - | * technical visualization | + | * material and physics demonstrations |
| - | * you always | + | * clean interiors and landscapes |
| - | * clear subject | + | * fantasy illustration surfaces |
| - | * predictable framing | + | * symbolic and abstract imagery |
| - | * stable | + | * you often get: |
| + | * clear subject | ||
| + | * solid composition | ||
| + | * credible simple atmosphere | ||
| + | * strong material effects | ||
| + | * good pattern and rune handling | ||
| + | * stable, usable images | ||
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| ===== Expanded DNA ===== | ===== Expanded DNA ===== | ||
| - | === 🔹 1. Strict Prompt Fidelity (Literal | + | === 🔹 1. Literal |
| - | **The model executes instructions without semantic | + | **The model responds to prompts by constructing the requested category directly, with limited interpretive |
| __Evidence: | __Evidence: | ||
| - | * no environment added unless explicitly requested | + | * portrait and full body are correct, credible, and proportionally solid |
| - | * no narrative elements introduced | + | * single object is simple but successful |
| - | * lighting changes do not create context | + | * readable text is handled correctly |
| + | * aerial top-down becomes a true zenith/ | ||
| + | * overexposed prompt is taken almost too literally, burning the image | ||
| - | 👉 //The model behaves like a compiler, not a storyteller// | + | 👉 //The model obeys before it interprets// |
| __Why it matters:__ | __Why it matters:__ | ||
| - | * Pros: extreme control and predictability | + | * Pros: predictable, |
| - | * Cons: requires very explicit prompting for richness | + | * Cons: weakens surprise, narrative depth, and artistic re-interpretation |
| ---- | ---- | ||
| - | === 🔹 2. Environment Suppression | + | === 🔹 2. Concrete Subject Reliability |
| - | **The model actively avoids introducing scene context unless explicitly defined.** | + | **The model is strongest when the prompt revolves around a bounded subject, object, material, symbol, or simple environmental setup.** |
| __Evidence: | __Evidence: | ||
| - | * neutral backgrounds across most generations | + | * single object feels valued through warm studio-like presentation |
| - | * lighting does not imply location | + | * complex pattern produces a strong premium object |
| - | * structured prompts with vague environment hints are ignored | + | * macro photography is credible and properly framed |
| + | * reflective material is one of the strongest physics outputs | ||
| + | * impact gives convincing energy and motion | ||
| - | 👉 //“environment” must be spelled out, not implied// | + | 👉 //The model handles concrete visual problems better than open dramatic scenes// |
| + | |||
| + | __Why it matters: | ||
| + | * Pros: strong for objects, materials, macro, patterns, runes, physics demonstrations, | ||
| + | * Cons: less reliable for scenes that require deep world logic or dramatic integration | ||
| ---- | ---- | ||
| - | === 🔹 3. Absolute Subject Anchoring | + | === 🔹 3. Baseline Human Competence, Weak Anatomy Edge Cases === |
| - | **The primary object is never lost, degraded, or visually dominated.** | + | **The model can produce acceptable humans in simple situations, but breaks down when anatomy becomes dynamic, close, or structurally demanding.** |
| __Evidence: | __Evidence: | ||
| - | * book remains: | + | * portrait is correct and solid |
| - | * centered | + | * full body has good proportions and neutral credibility |
| - | * fully visible | + | * dynamic motion is exaggerated and physically bizarre |
| - | * clearly readable | + | * close-up hands and nails feel off, weird, and AI-like |
| - | * even in chaos → still dominant | + | * small group has correct anatomy but fake, exaggerated emotional tone |
| - | 👉 //This is stronger than most models: subject ≠ negotiable// | + | 👉 //Simple people pass; complex bodies reveal the seams// |
| + | |||
| + | __Why it matters: | ||
| + | * Pros: usable for neutral figures and straightforward human subjects | ||
| + | * Cons: risky for hands, motion, subtle gesture, believable emotion, and detailed morphology | ||
| ---- | ---- | ||
| - | === 🔹 4. Chaos Sanitization | + | === 🔹 4. Fantasy Illustration Bias === |
| - | **The model resists true disorder and restructures chaotic prompts | + | **When prompted with mythic or magical subjects, the model often falls into 2D fantasy illustration or 3D video-game rendering.** |
| __Evidence: | __Evidence: | ||
| - | * chaotic prompts → still organized layouts | + | * warrior feels 3D-rendered and video-game-like |
| - | * clutter remains visually | + | * mage feels like 2D fantasy illustration with rigid hands |
| - | * no true fragmentation or collapse | + | * dragon is readable |
| + | * primordial titan becomes gloomy and otherworldly, | ||
| + | * fantasy runes are more successful because the prompt asks for surface symbolism rather than full mythic embodiment | ||
| - | 👉 //It does not generate chaos, it simulates it safely// | + | 👉 //Fantasy surfaces work better than fantasy beings// |
| + | |||
| + | __Why it matters: | ||
| + | * Pros: useful for runes, magical surfaces, moody fantasy illustrations, | ||
| + | * Cons: weaker for awe, physical creature design, mythic scale, and convincing fantasy bodies | ||
| ---- | ---- | ||
| - | === 🔹 5. Lighting as Local Effect | + | === 🔹 5. Simple Environment Strength, Structural World Weakness |
| - | **Lighting affects surfaces | + | **The model can produce believable natural and interior environments, |
| __Evidence: | __Evidence: | ||
| - | * neon → color applied, but no environment shift | + | * landscape is credible, soothing, and atmospheric |
| - | * fog → subtle, no atmospheric storytelling | + | * interior is cozy, warm, rich, catalog-like, |
| - | * high contrast → contained to object | + | * aerial top-down is clear, satellite-like, |
| + | * cityscape looks acceptable in thumbnail but becomes absurd on inspection | ||
| + | * primordial titan respects the requested scale but feels layered onto the landscape | ||
| - | 👉 //Lighting = rendering parameter, not narrative driver// | + | 👉 //It can photograph a place, but struggles to make complicated worlds function// |
| + | |||
| + | __Why it matters: | ||
| + | * Pros: good for landscapes, interiors, macro environments, | ||
| + | * Cons: weak for city infrastructure, | ||
| ---- | ---- | ||
| - | === 🔹 6. Low Semantic Expansion Pressure | + | === 🔹 6. Atmosphere as Mood Field === |
| - | **The model does not infer or extend beyond | + | **The model can create convincing atmosphere, especially when the prompt |
| __Evidence: | __Evidence: | ||
| - | * no added props | + | * low-key moody is one of the stronger compositions, |
| - | * no implied setting | + | * neon cyberpunk respects the style and mood clearly |
| - | * no stylistic drift beyond keywords | + | * volumetric fog has a strong gloomy atmosphere but feels empty and washed |
| + | * overexposed washed is unusably bright, almost like a real failed exposure | ||
| - | 👉 //It waits for instruction instead of anticipating intent// | + | 👉 //Mood is present, but not always supported by strong composition// |
| + | |||
| + | __Why it matters: | ||
| + | * Pros: good for gloom, low-key lighting, neon atmosphere, and stylized mood fields | ||
| + | * Cons: can become empty, washed out, or too literal when exposure and atmosphere are the core instruction | ||
| ---- | ---- | ||
| - | === 🔹 7. Composition Stability | + | === 🔹 7. Physics Demonstration Strength |
| - | **Framing remains consistent | + | **The model performs well on isolated material |
| __Evidence: | __Evidence: | ||
| - | * centered compositions persist | + | * water splash is clear and readable |
| - | * margins respected | + | * smoke and fire have convincing chaotic energy |
| - | * no aggressive cropping or reframing | + | * reflective material is strong, with a semi-translucent object choice adding interest |
| + | * impact successfully conveys force, fragments, and energy | ||
| - | 👉 //The model prefers safe, readable framing over expressive composition// | + | 👉 //It handles physical effects best when they are the subject, not background decoration// |
| + | |||
| + | __Why it matters: | ||
| + | * Pros: strong for visual demonstrations of materials, reflection, fracture, particles, and isolated motion | ||
| + | * Cons: these strengths may not transfer to complex narrative scenes with many interacting systems | ||
| ---- | ---- | ||
| - | === 🔹 8. Deterministic Behavior | + | === 🔹 8. Symbolic and Abstract Competence |
| - | **Outputs remain consistent across runs with minimal variation drift.** | + | **The model shows a notable strength in abstract structure, fantasy symbols, complex patterns, and emotionally driven non-literal compositions.** |
| __Evidence: | __Evidence: | ||
| - | * similar structure across batches | + | * fantasy runes have a convincing 2D fantasy illustration vibe |
| - | * stable lighting interpretation | + | * complex pattern produces a good premium object |
| - | * predictable responses to prompts | + | * abstract emotion is energetic, with cross patterns and waves of color |
| + | * readable text is respected and legible | ||
| - | 👉 //This is a “production-safe” | + | 👉 //When the prompt becomes symbolic, the model becomes more expressive// |
| + | |||
| + | __Why it matters: | ||
| + | * Pros: strong for abstract art, magical surfaces, visual symbols, pattern objects, and mood-driven non-representational imagery | ||
| + | * Cons: weaker when symbolic ambition must coexist with realistic anatomy, architecture, | ||
| + | |||
| + | ---- | ||
| + | |||
| + | === 🔹 9. Thumbnail Plausibility Risk === | ||
| + | |||
| + | **Some outputs look convincing at small size but reveal structural problems when examined closely.** | ||
| + | |||
| + | __Evidence: | ||
| + | * cityscape initially passes as a city, but roads and buildings become absurd on inspection | ||
| + | * symmetry prompt respects composition but produces a fake-feeling building | ||
| + | * primordial titan has strong mood but unresolved physical integration | ||
| + | * fashion editorial respects the prompt but exposes the photo backdrop and feels cheap | ||
| + | |||
| + | 👉 //The model often gets the image impression before it solves the image logic// | ||
| + | |||
| + | __Why it matters: | ||
| + | * Pros: usable for thumbnails, quick references, atmosphere, and ideation | ||
| + | * Cons: requires close inspection before using outputs as finished or large-format images | ||
| + | |||
| + | ---- | ||
| + | |||
| + | === 🔹 10. Controlled Stability with Uneven Aesthetic Lift === | ||
| + | |||
| + | **The model is stable and often competent, but its aesthetic impact varies strongly by domain.** | ||
| + | |||
| + | __Evidence: | ||
| + | * abstract, macro, fantasy runes, complex patterns, physics, low-key, narrative discovery, interior, and landscape are the strongest areas | ||
| + | * fashion editorial is prompt-compliant but lacks energy and composition strength | ||
| + | * battlefield chaos contains chaos but is not especially compelling | ||
| + | * mythic characters are readable but not powerful | ||
| + | |||
| + | 👉 //It is dependable, but only selectively inspiring// | ||
| + | |||
| + | __Why it matters: | ||
| + | * Pros: good candidate for controlled tests, symbolic images, materials, interiors, macro, and atmospheric visuals | ||
| + | * Cons: not a first choice for fashion drama, complex cities, anatomical precision, epic scale, or high-impact fantasy heroes | ||
| ---- | ---- | ||