COMPOSITION
DESIGN
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Turn Yourself Into an Action Figure Using ChatGPTRead more: Turn Yourself Into an Action Figure Using ChatGPTChatGPT Action Figure Prompts: Create an action figure from the photo. It must be visualised in a realistic way. There should be accessories next to the figure like a UX designer have, Macbook Pro, a camera, drawing tablet, headset etc. Add a hole to the top of the box in the action figure. Also write the text “UX Mate” and below it “Keep Learning! Keep Designing 
 Use this image to create a picture of a action figure toy of a construction worker in a blister package from head to toe with accessories including a hammer, a staple gun and a ladder. The package should read “Kirk The Handy Man” 
 Create a realistic image of a toy action figure box. The box should be designed in a toy-equipment/action-figure style, with a cut-out window at the top like classic action figure packaging. The main color of the box and moleskine notebook should match the color of my jacket (referenced visually). Add colorful Mexican skull decorations across the box for a vibrant and artistic flair. Inside the box, include a “Your name” action figure, posed heroically. Next to the figure, arrange the following “equipment” in a stylized layout: • item 1 • item 2 … On the box, write: “Your name” (bold title font) Underneath: “Your role or anything else” The entire scene should look like a real product mockup, highly realistic, lit like a studio product photo. On the box, write: “Your name” (bold title font) Underneath: “Your role or description” The entire scene should look like a real product mockup, highly realistic, lit like a studio product photo. Prompt on Kling AI The figure steps out of its toy packaging and begins walking forward. As he continues to walk, the camera gradually zooms out in sync with his movement. 
 “Create image. Create a toy of the person in the photo. Let it be an action figure. Next to the figure, there should be the toy’s equipment, each in its individual blisters. 1) a book called “Tecnoforma”. 2) A 3-headed dog with a tag that says “Troika” and a bone at its feet with word “austerity” written on it. 3) a three-headed Hydra with with a tag called “Geringonça”. 4) a book titled “D. Sebastião”. Don’t repeat the equipment under any circumstance. The card holding the blister should be strong orange. Also, on top of the box, write ‘Pedro Passos Coelho’ and underneath it, ‘PSD action figure’. The figure and equipment must all be inside blisters. Visualize this in a realistic way.” 
COLOR
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Pattern generatorsRead more: Pattern generatorshttp://qrohlf.com/trianglify-generator/ https://halftonepro.com/app/polygons# https://mattdesl.svbtle.com/generative-art-with-nodejs-and-canvas https://www.patterncooler.com/ http://permadi.com/java/spaint/spaint.html https://dribbble.com/shots/1847313-Kaleidoscope-Generator-PSD http://eskimoblood.github.io/gerstnerizer/ http://www.stripegenerator.com/ http://btmills.github.io/geopattern/geopattern.html http://fractalarchitect.net/FA4-Random-Generator.html https://sciencevsmagic.net/fractal/#0605,0000,3,2,0,1,2 https://sites.google.com/site/mandelbulber/home 
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Polarised vs unpolarized filteringRead more: Polarised vs unpolarized filteringA light wave that is vibrating in more than one plane is referred to as unpolarized light. … Polarized light waves are light waves in which the vibrations occur in a single plane. The process of transforming unpolarized light into polarized light is known as polarization.  en.wikipedia.org/wiki/Polarizing_filter_(photography) The most common use of polarized technology is to reduce lighting complexity on the subject. (more…)
 Details such as glare and hard edges are not removed, but greatly reduced.
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mmColorTarget – Nuke Gizmo for color matching a MacBeth chartRead more: mmColorTarget – Nuke Gizmo for color matching a MacBeth charthttps://www.marcomeyer-vfx.de/posts/2014-04-11-mmcolortarget-nuke-gizmo/ https://www.marcomeyer-vfx.de/posts/mmcolortarget-nuke-gizmo/ https://vimeo.com/9.1652466e+07 https://www.nukepedia.com/gizmos/colour/mmcolortarget 
LIGHTING
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Light propertiesRead more: Light propertiesHow It Works – Issue 114 
 https://www.howitworksdaily.com/
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Convert between light exposure and intensityRead more: Convert between light exposure and intensityimport math,sys def Exposure2Intensity(exposure): exp = float(exposure) result = math.pow(2,exp) print(result) Exposure2Intensity(0) def Intensity2Exposure(intensity): inarg = float(intensity) if inarg == 0: print("Exposure of zero intensity is undefined.") return if inarg < 1e-323: inarg = max(inarg, 1e-323) print("Exposure of negative intensities is undefined. Clamping to a very small value instead (1e-323)") result = math.log(inarg, 2) print(result) Intensity2Exposure(0.1)Why Exposure?Exposure is a stop value that multiplies the intensity by 2 to the power of the stop. Increasing exposure by 1 results in double the amount of light. 
 Artists think in “stops.” Doubling or halving brightness is easy math and common in grading and look-dev.
 Exposure counts doublings in whole stops:- +1 stop = ×2 brightness
- −1 stop = ×0.5 brightness
 This gives perceptually even controls across both bright and dark values. 
 Why Intensity?Intensity is linear. 
 It’s what render engines and compositors expect when:- Summing values
- Averaging pixels
- Multiplying or filtering pixel data
 Use intensity when you need the actual math on pixel/light data. 
 Formulas (from your Python)- Intensity from exposure: intensity = 2**exposure
- Exposure from intensity: exposure = log₂(intensity)
 Guardrails: - Intensity must be > 0 to compute exposure.
- If intensity = 0 → exposure is undefined.
- Clamp tiny values (e.g. 1e−323) before using log₂.
 
 Use Exposure (stops) when…- You want artist-friendly sliders (−5…+5 stops)
- Adjusting look-dev or grading in even stops
- Matching plates with quick ±1 stop tweaks
- Tweening brightness changes smoothly across ranges
 
 Use Intensity (linear) when…- Storing raw pixel/light values
- Multiplying textures or lights by a gain
- Performing sums, averages, and filters
- Feeding values to render engines expecting linear data
 
 Examples- +2 stops → 2**2 = 4.0 (×4)
- +1 stop → 2**1 = 2.0 (×2)
- 0 stop → 2**0 = 1.0 (×1)
- −1 stop → 2**(−1) = 0.5 (×0.5)
- −2 stops → 2**(−2) = 0.25 (×0.25)
- Intensity 0.1 → exposure = log₂(0.1) ≈ −3.32
 
 Rule of thumbThink in stops (exposure) for controls and matching. 
 Compute in linear (intensity) for rendering and math.
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Composition – These are the basic lighting techniques you need to know for photography and filmRead more: Composition – These are the basic lighting techniques you need to know for photography and filmhttp://www.diyphotography.net/basic-lighting-techniques-need-know-photography-film/ Amongst the basic techniques, there’s… 1- Side lighting – Literally how it sounds, lighting a subject from the side when they’re faced toward you 2- Rembrandt lighting – Here the light is at around 45 degrees over from the front of the subject, raised and pointing down at 45 degrees 3- Back lighting – Again, how it sounds, lighting a subject from behind. This can help to add drama with silouettes 4- Rim lighting – This produces a light glowing outline around your subject 5- Key light – The main light source, and it’s not necessarily always the brightest light source 6- Fill light – This is used to fill in the shadows and provide detail that would otherwise be blackness 7- Cross lighting – Using two lights placed opposite from each other to light two subjects 
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Insta360-Research-Team DiT360 – High-Fidelity Panoramic Image Generation via Hybrid TrainingRead more: Insta360-Research-Team DiT360 – High-Fidelity Panoramic Image Generation via Hybrid Traininghttps://github.com/Insta360-Research-Team/DiT360 DiT360 is a framework for high-quality panoramic image generation, leveraging both perspective and panoramic data in a hybrid training scheme. It adopts a two-level strategy—image-level cross-domain guidance and token-level hybrid supervision—to enhance perceptual realism and geometric fidelity.  
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