youtube.com/watch?v=J4iUWaDm… here's a first look at the hotfixes for august (colortemp adjust values for vanillaenhance)

Veo 3 prompt [json] ↡ { "meta": { "styleName": "CamelBeachVlog", "aspectRatio": "@16:9" }, "camera": { "model": "Sony FX3", "sensor": "Full-frame", "focalLength": "24mm", "aperture": "f/2.0", "lens": "compact vlog wide-angle", "framing": "handheld selfie at chest level" }, "subject": { "primary": "man and camel at Juhu Beach in rain", "emotion": "playful, relaxed" }, "character": { "identity": "A stylish Indian man in his 30s, clean-shaven", "appearance": "wearing a dark grey oversized hoodie printed with '/PromptME' on the chest", "wardrobe": "hoodie soaked in rain, Bose headphones with mic boom", "continuity": "same character as previous camel vlog", "photographic texture intent": "wet fabric, skin texture, soft rain detail" }, "composition": { "theory": "rule of thirds", "visualHierarchy": "face centered slightly right, camel’s head slightly left, beach horizon behind" }, "setting": { "environment": "Juhu Beach entry point", "architecture": "beach stalls and rain umbrellas in background", "era": "present-day monsoon season" }, "lighting": { "source": "natural overcast monsoon light", "direction": "diffused top light", "softness": "very soft shadows", "colorTemp": "cool daylight", "bounceLogic": "reflected off wet sand and camel hide" }, "fx": { "renderedStylizations": "realistic handheld rain wobble", "glow": "light water mist from breath and surf", "materialEffects": "wet fabric, muddy camel hoofs" }, "colorGrading": { "dominantPalette": "camel beige, rain grey, sea green", "toneMapping": "monsoon realism with mild contrast", "contrastStrategy": "soft midtones", "moodIntent": "calm chaos with humor" }, "style": { "artDirection": "#SelfieRealism #MumbaiMonsoonChronicles" }, "rendering": { "engine": "Unreal Engine 5 Octane hybrid", "visualFidelitySpec": "cinematic vlog realism, 8K output" }, "postEditing": { "photographicTreatments": "lens droplets, slight motion blur on camel", "colorGradeEmulation": "Fujifilm Pro 400H for balanced skin and rain" }, "creativeReference": "selfie vlogging meets National Geographic monsoon doc aesthetic", "sound": { "voice": "natural male voice, clear and friendly", "ambient": "light rain, beach waves, soft breeze, distant traffic", "sfx": "camel hoofs in wet sand, occasional squish, water dripping from hoodie", "music": "low-volume ambient lo-fi score with light percussion textures (no vocals), layered softly under voice, enhances monsoon vibe" }, "notes": "The character delivers a humorous sign-off while the camel slows on wet sand. No umbrella. Rain continues softly. Music must never overpower the dialogue.", "contextualTokens": [ "Mumbai rains", "vlog", "camel", "beach commute", "realism", "South Asian citylife", "humor" ], "dialogue": "MIKO is my Uber for today. Surge pricing? Just feed him a banana. Mid-week beach vibes. Happy Wednesday, folks!" } #GenerativeAI #MumbaiRains #MachineLearning #PromptShare

#lineart #colorfull #colortemp

Exif of Jonas raw shows EV value 14.6, colortemp 7300 ( should look super bright with slight orange tint) but it's not RGB should indicate huge spread of intensities and color overlap. Even B and G look banded, set within narrow intensity range. Typical VFX scene work.

La foto la tomaron a juro con colortemp en auto, en vez de usar 5500k manual. Por eso amarillezca.

I hope you lose brother

1 dual led and ColorTemp sensor

4 ToF flash/ColorTemp temperature measurement sensor

Sony always comes quite cool out of box. The SDR colortemp was around 6900K. Top: Sony; Bottom: LG.

つまり佐山でエンドロットを白く光らせつつ周囲を照らすには、Optiの更新を待つか、佐山を1.16.4にバージョンアップするか、ColorTempをプログラム解析して直にいじる必要がある つまり1.13.1はクソです

i want a lamp with as many watts as possible, as close to daylight spectrum as possible (colortemp at least 5000K), CRI at least 90, E27 socket and in a normal shape that will fit my fitting why can't you filter any of these fucking websites 😡😡😡😡

i've seen the crow photo whitebalance/colortemp tweet thread

Working with gels is always fun. But try to adjust colortemp and tint afterwards and a whole world of creativity opens ;) #hensel #hensellighting #xrite #inspiration_by_benq #sekonic #glamour #glamourphotography #modelphotography

#Gledopto #Amazon #Discount. More than 20% OFF, Only today. 12W LED #Bulb Starter Kit, 2 pcs bulbs 1 pcs remote. Work with #Zigbee hub, Philips Hue, Amazon echo plus, SmartThings, and 2.4G RF Remote Control. #MillionColors, #ColorTemp, #Dimmable, #App amazon.com/dp/B081SV1WKX?ref…

#Gledopto Zigbee #SmartBulb, #Phone App Control / #Alexa Voice Control for you. Work with SmartThings, Amazon Echo Plus, Philips Hue, etc. #MultiColors, Brightness #Dimmable, #ColorTemp 2700~6500K. #DIYScene #TimingMode #StayHome #StayAtHome #SmartLighting gledopto.aliexpress.com/stor…

Without any doubt nanlite (part of ledgo) is my favorite brand for ledlighting. Just look at how beautiful the design is. Ofcourse adjustable in colortemp and a lot lot more. What a stunning beauty (both are ;)) #nanlite #led #ledpanels

Go already has a one-library ternary anyway 🤠 `colorTemp := map[bool]string{false: "blue", true: "red"}[color > 100]`

Hey @espn you might want to get your truck engineer to white balance the cameras on the #FAUvsUCF game. That looks really blue on TV. #videonerd #cusa #colortemp

Oh, I see what you mean, it only executes one of the paths. @egonelbre had a fix for that: colorTemp := map[bool]func() string{false: func() string { return "blue" }, true: func() string { return "red" }}[color > 100]() You're right, that's much better.

#golang protip, you can use funcs: colorTemp := map[bool]func() string{false: func() string { return "blue" }, true: func() string { return "red" }}[color > 100]()