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FLORA + Gemini → Product-to-Lifestyle Shots. Gemini's multi-image input is infinite. (Mistakes included). IMAGE BLEND PROMPT: Let's combine the images and put the blue nike sneakers on a man with black jogger pants. Create this in a vertical 2:3 aspect ratio ITERATION PROMPT: Let's get a different perspective/camera angle.... show more

Rory Flynn

27,901 subscribers

30,466 次观看 • 1 年前 •via X (Twitter)

教育科学技术艺术

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7 条评论

George Newton 的头像

George Newton1 年前

Damn Flora is so sleek

Rory Flynn 的头像

Rory Flynn1 年前

definitely has a nice vibe to it

Kevin Nexus 的头像

Kevin Nexus1 年前

That amazing!

Jordan Daniel Chesney 的头像

Jordan Daniel Chesney1 年前

@DavidLaChanceJr

Luis 的头像

Luis1 年前

Meanwhile, photographers and designers...

YI LONG 的头像

YI LONG1 年前

@readwise save

Jack Archer 的头像

Jack Archer1 年前

We made the best pants for men! ☁️ Comfortable Fit 🥜 Anti-ball-crush 🗺 Wrinkle-free

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📢🚨 CCTV Footage of the alleged shooter in the parking garage with Fixed Aspect Ratio. Nothing else has been done to the footage. No contrast, sharpening, brightness, nothing. No AI processing. Just fixed the aspect ratio from being filmed from a camera in the courtroom at an angle to matching the corners of the monitor to the corners of the 16:9 aspect ratio of the NEC monitor used in the courtroom. Might be a better view for those looking into it. Zoomed shorter version also included. I used a Corner Positioner in Resolve to fix the aspect ratio and used standard Inspector Zoom.

📢🚨 CCTV Footage of the alleged shooter in the parking garage with Fixed Aspect Ratio. Nothing else has been done to the footage. No contrast, sharpening, brightness, nothing. No AI processing. Just fixed the aspect ratio from being filmed from a camera in the courtroom at an angle to matching the corners of the monitor to the corners of the 16:9 aspect ratio of the NEC monitor used in the courtroom. Might be a better view for those looking into it. Zoomed shorter version also included. I used a Corner Positioner in Resolve to fix the aspect ratio and used standard Inspector Zoom.

TriggerSmart

71,833 次观看 • 18 天前

GPT Image 2 is insanely good...I generated a 360° equirectangular panorama in Happycapy with just a skill + prompt. Step 1: Select the generate-image skill Step 2: Enter a prompt like: “Use a frontend 360 viewer to display an equirectangular image of […] using the GPT-Image-2 model.” Wanna see how you all get creative with this

GPT Image 2 is insanely good...I generated a 360° equirectangular panorama in Happycapy with just a skill + prompt. Step 1: Select the generate-image skill Step 2: Enter a prompt like: “Use a frontend 360 viewer to display an equirectangular image of […] using the GPT-Image-2 model.” Wanna see how you all get creative with this

Min Zhou

343,590 次观看 • 4 个月前

Seedance 2.5 on Astorie AI Let's try typography with Seedance 2.5. 30s, 720p generation. I did a few tests and it can sometimes get the text wrong. I think using reference images would be a more reliable way to get all the text right. Otherwise, you'll need a lucky generation. Since this one is a bit more detailed, I used a Chinese prompt again. I'll leave the prompt below.

Seedance 2.5 on Astorie AI Let's try typography with Seedance 2.5. 30s, 720p generation. I did a few tests and it can sometimes get the text wrong. I think using reference images would be a more reliable way to get all the text right. Otherwise, you'll need a lucky generation. Since this one is a bit more detailed, I used a Chinese prompt again. I'll leave the prompt below.

Kōda

13,834 次观看 • 15 天前

I was able to create a prompt that helps me generate bulks of images using flow agent. this is a 61 image I generated in one go just by using one character image and it used the style across every 61 prompt And everything was done on mobile.. Yt automators this is for you😎

I was able to create a prompt that helps me generate bulks of images using flow agent. this is a 61 image I generated in one go just by using one character image and it used the style across every 61 prompt And everything was done on mobile.. Yt automators this is for you😎

Peter Buildweb | Al

21,012 次观看 • 1 个月前

So Runway Gen 4.5 finally adds image-to-video, the workflow most pros rely on for consistency. We put it head to head with Kling AI and Flow by Google VEO using the same reference images and prompts (below) to evaluate motion quality, stability, and cinematic realism. 1. Action/WaterPhysics Test Prompt: Cinematic, wide-shot of a man running in a shallow river. The camera is tracking the man from behind as he runs up the river. Handheld camera shake as the camera follows the man. 2. Fire Physics Test Prompt: Cinematic, wide-shot of terrified woman running towards her burning barn. She abruptly stops, and puts in hands on her head as she watches her barn burn down. 3. VFX test prompt: Cinematic, wide-shot of a hooded figure. Flashes of purple magic and smoke whirl around the figure. The figure lifts its arms as the purple magic and smoke intensifies. 4. 2D Animation Test Prompt: 2D animated shot of a waiting at a bus stop in a thunderstorm. The man turns, walks to the bench, and sits down. 5. 3D Animation Test Prompt: 3D animated shot of an octopus. The octopus reaches into a coral and picks up a glowing white gem. 6. Conversation Test Prompt: slow camera push-in as two friends are having a conversation at a coffee shop Overall verdict: Despite the “world’s best” claim, Runway Gen 4.5 is not there yet. Prompt adherence is solid, but motion, physics, and cinematic realism still lag behind tools like Kling and VEO. Great platform, mid-tier model for now.

So Runway Gen 4.5 finally adds image-to-video, the workflow most pros rely on for consistency. We put it head to head with Kling AI and Flow by Google VEO using the same reference images and prompts (below) to evaluate motion quality, stability, and cinematic realism. 1. Action/WaterPhysics Test Prompt: Cinematic, wide-shot of a man running in a shallow river. The camera is tracking the man from behind as he runs up the river. Handheld camera shake as the camera follows the man. 2. Fire Physics Test Prompt: Cinematic, wide-shot of terrified woman running towards her burning barn. She abruptly stops, and puts in hands on her head as she watches her barn burn down. 3. VFX test prompt: Cinematic, wide-shot of a hooded figure. Flashes of purple magic and smoke whirl around the figure. The figure lifts its arms as the purple magic and smoke intensifies. 4. 2D Animation Test Prompt: 2D animated shot of a waiting at a bus stop in a thunderstorm. The man turns, walks to the bench, and sits down. 5. 3D Animation Test Prompt: 3D animated shot of an octopus. The octopus reaches into a coral and picks up a glowing white gem. 6. Conversation Test Prompt: slow camera push-in as two friends are having a conversation at a coffee shop Overall verdict: Despite the “world’s best” claim, Runway Gen 4.5 is not there yet. Prompt adherence is solid, but motion, physics, and cinematic realism still lag behind tools like Kling and VEO. Great platform, mid-tier model for now.

Curious Refuge

25,538 次观看 • 7 个月前

Love this example! Congrats to Google DeepMind! I successfully replicated the Boggle game on SWE Arena. TLDR: Gemini 2.0 Pro won! In the case of Claude 3.5 Sonnet vs Gemini 2.0 Pro, both are given the image and prompt to generate the algo to get the results. The image and prompt are exactly the same. Try it out on SWE Arena: BTW can we get a bigger streaming rate limit for our API, so that ppl can better compare the latest Gemini models with other frontier models? Jeff Dean Logan Kilpatrick 👀

Love this example! Congrats to Google DeepMind! I successfully replicated the Boggle game on SWE Arena. TLDR: Gemini 2.0 Pro won! In the case of Claude 3.5 Sonnet vs Gemini 2.0 Pro, both are given the image and prompt to generate the algo to get the results. The image and prompt are exactly the same. Try it out on SWE Arena: BTW can we get a bigger streaming rate limit for our API, so that ppl can better compare the latest Gemini models with other frontier models? Jeff Dean Logan Kilpatrick 👀

Terry Yue Zhuo

48,220 次观看 • 1 年前

DRONE VIDEOGRAPHERS CHARGE $10K FOR THIS SHOT. HE PULLS IT FROM GOOGLE EARTH AND A PROMPT You never buy a drone, book a pilot, or leave the house. You pick any city on Earth, trace the flight path you want, and let Gemini render it as real-looking FPV footage. Clients pay thousands for this shot. You make it from a screenshot Here is the exact process: 1. Open Google Earth. Find the city or building you want. Frame the angle you'd want a drone to start from and take a screenshot 2. Draw the path. On that screenshot, draw a red line showing exactly where the drone should fly through the scene. This line is what the AI follows 3. Open Gemini and drop in the screenshot. Use the video generation in the Gemini app, the part that animates a still image into motion. Nano Banana handles images, the video engine is what turns your shot into footage 4. Paste the prompt. Tell it to follow the red flight path through the city, fast smooth motion, banking around buildings, golden-hour light, motion blur, 9:16 vertical, real FPV drone look. Full prompt is in the comments 5. Generate and clean it up. One clip is a few seconds. Stitch a couple together for a full flythrough and you have a reel Set the prompt once and you can re-run it for any location on the planet Who pays for this: Real estate agents, hotels, restaurants and event venues all need aerial b-roll and almost none can afford a real drone shoot Pull listings or venues with flat, ground-level photos and zero aerial footage. Send a free sample flythrough of their own location, then charge per clip or a monthly rate for ongoing reels One agent with ten listings is a recurring client, fully online Full prompt in the comments Bookmark this

DRONE VIDEOGRAPHERS CHARGE $10K FOR THIS SHOT. HE PULLS IT FROM GOOGLE EARTH AND A PROMPT You never buy a drone, book a pilot, or leave the house. You pick any city on Earth, trace the flight path you want, and let Gemini render it as real-looking FPV footage. Clients pay thousands for this shot. You make it from a screenshot Here is the exact process: 1. Open Google Earth. Find the city or building you want. Frame the angle you'd want a drone to start from and take a screenshot 2. Draw the path. On that screenshot, draw a red line showing exactly where the drone should fly through the scene. This line is what the AI follows 3. Open Gemini and drop in the screenshot. Use the video generation in the Gemini app, the part that animates a still image into motion. Nano Banana handles images, the video engine is what turns your shot into footage 4. Paste the prompt. Tell it to follow the red flight path through the city, fast smooth motion, banking around buildings, golden-hour light, motion blur, 9:16 vertical, real FPV drone look. Full prompt is in the comments 5. Generate and clean it up. One clip is a few seconds. Stitch a couple together for a full flythrough and you have a reel Set the prompt once and you can re-run it for any location on the planet Who pays for this: Real estate agents, hotels, restaurants and event venues all need aerial b-roll and almost none can afford a real drone shoot Pull listings or venues with flat, ground-level photos and zero aerial footage. Send a free sample flythrough of their own location, then charge per clip or a monthly rate for ongoing reels One agent with ten listings is a recurring client, fully online Full prompt in the comments Bookmark this

Yarchi

53,401 次观看 • 2 个月前

Higgsfield MCP + Codex is f*cking wild 🤯 Here's how you can generate 17 on-brand Amazon listing images by uploading one product photo. One plain-English prompt, zero manual generation. All inside the Codex app. Perfect for DTC brands and agencies who need production-quality product shots without booking a shoot or briefing a designer. If you're prompting image generators one shot at a time: Tweaking the lighting, adjusting the angle, re-running generations until something usable comes out. This combination eliminates the entire loop: → Install the Higgsfield CLI and add the skills to Codex in 5 minutes → Drop one product photo into your project folder → Type one prompt: "make me Amazon listing images — hero, lifestyle, detail, angles" → Codex interprets it, Higgsfield skills fire automatically → Finished images land in an organized folder on your machine No manual prompt tweaking. No re-running generations. No briefing a designer. What you get: → Production-quality listing images from a single product photo → Lighting, angles, and reflections handled automatically → Everything organized into folders locally on your machine → A pipeline that runs in minutes, not days Setup takes five minutes. I put together a full guide showing the exact install, the skills setup, and the prompt to run it yourself. Want it for free? > Like this post > Comment "CODEX" And I'll send it over (must be following so I can DM)

Mike Futia

12,887 次观看 • 3 个月前

Dream of making it to the KBC hot seat? Let's get you there 🤝 Google Gemini is teaming up with KBC and sonytv as your personal knowledge companion ✨ From registrations to the final padhaav, your answers are just a prompt away. Toh chaliye shuru krte hai

Dream of making it to the KBC hot seat? Let's get you there 🤝 Google Gemini is teaming up with KBC and sonytv as your personal knowledge companion ✨ From registrations to the final padhaav, your answers are just a prompt away. Toh chaliye shuru krte hai

Google India

38,545 次观看 • 1 个月前

With the release of Kling AI 2.6, I was eager to put it up against one of its arch-rivals….Google Flow Veo 3.1. I ran four separate tests. First, I tested their ability to generate consistent and stable action shots. Second, I tested camera movement in a crowded scene. Third, I tested their ability to generate consistent facial details and emotion. Fourth, I wanted to see how well they can generated an interaction between two characters. Prompt 1: camera tracking shot, wide-shot. The camera tracks above as two nights ride on horses through a forest. The horses a galloping fast. The camera is tracking the knights from above. Prompt 2: Slow camera push in on a man eating Ramen at a Ramen house in Japan. The alley street is busy with people. Prompt 3: Close-up shot of a man on a sailboat. The man has a scared look on his face. After a short pause, the man says, "I'm gonna need a bigger boat” Prompt 4: Static camera. A man picks up a cookie from a plate and takes a bite. His dog looks up at him; eagerly wanting a bite of the cookie. The man turns, looks at the dog, and says, "no cookies for you mister” Verdict🏆: To be honest, I was surprised by Kling 2.6. While Veo 3.1 outperformed Kling 2.6 in the close-up shot test, it slightly underperformed in every other test. In the Veo 3.1 outputs, objects would randomly appear and camera movements were abrupt or didn’t adhere to the prompt. Don’t get me wrong, Kling 2.6 definitely had its flaws (its audio was quieter and often mismatched the prompt). That said, I was impressed with Kling 2.6 more than I imagined I would be. Although a somewhat small lead, I would give Kling 2.6 the slight advantage for this round of tests.

With the release of Kling AI 2.6, I was eager to put it up against one of its arch-rivals….Google Flow Veo 3.1. I ran four separate tests. First, I tested their ability to generate consistent and stable action shots. Second, I tested camera movement in a crowded scene. Third, I tested their ability to generate consistent facial details and emotion. Fourth, I wanted to see how well they can generated an interaction between two characters. Prompt 1: camera tracking shot, wide-shot. The camera tracks above as two nights ride on horses through a forest. The horses a galloping fast. The camera is tracking the knights from above. Prompt 2: Slow camera push in on a man eating Ramen at a Ramen house in Japan. The alley street is busy with people. Prompt 3: Close-up shot of a man on a sailboat. The man has a scared look on his face. After a short pause, the man says, "I'm gonna need a bigger boat” Prompt 4: Static camera. A man picks up a cookie from a plate and takes a bite. His dog looks up at him; eagerly wanting a bite of the cookie. The man turns, looks at the dog, and says, "no cookies for you mister” Verdict🏆: To be honest, I was surprised by Kling 2.6. While Veo 3.1 outperformed Kling 2.6 in the close-up shot test, it slightly underperformed in every other test. In the Veo 3.1 outputs, objects would randomly appear and camera movements were abrupt or didn’t adhere to the prompt. Don’t get me wrong, Kling 2.6 definitely had its flaws (its audio was quieter and often mismatched the prompt). That said, I was impressed with Kling 2.6 more than I imagined I would be. Although a somewhat small lead, I would give Kling 2.6 the slight advantage for this round of tests.

Curious Refuge

24,695 次观看 • 8 个月前

The last time I shared my giant and tiny human/animals series they went viral right here on X. Here is the link to the tutorial - I've put together a more in-depth guide explaining the process from image generation to bringing the images to life with Veo 3.1 in this video. These videos are so much fun to create! Once you understand how to create the images, it's up to you, you can prompt different camera angles, connect them and tell a story. Enjoy!

The last time I shared my giant and tiny human/animals series they went viral right here on X. Here is the link to the tutorial - I've put together a more in-depth guide explaining the process from image generation to bringing the images to life with Veo 3.1 in this video. These videos are so much fun to create! Once you understand how to create the images, it's up to you, you can prompt different camera angles, connect them and tell a story. Enjoy!

Travis Davids

16,149 次观看 • 7 个月前

This is a really powerful combo: 1. Use this 3x3 prompt in Nano Banana Pro to create different shot types for your dialogue scenes 2. Animate everything with Kling AI 2.6, currently the best video model for realistic lip sync shots like these Prompt below:

This is a really powerful combo: 1. Use this 3x3 prompt in Nano Banana Pro to create different shot types for your dialogue scenes 2. Animate everything with Kling AI 2.6, currently the best video model for realistic lip sync shots like these Prompt below:

Halim Alrasihi

148,169 次观看 • 8 个月前

Minimax Natural Motion → Solid. All the video tools offer something different. MJ PROMPT: homesteader, epic cinema --ar 5:3 --p MINIMAX PROMPTS: 1. zooming in shot of a man eating arguala from a bowl 2. pulling in shot as a donkey walks towards a young girl and nuzzles her face, subtle breeze blowing hair, natural dynamic motion 3. cinematic shot of a man walking up a hill to the right as the camera sharply focuses on him, farm animals grazing in the background 4. The camera motions to the right, man walking away from us towards an old house as the camera sharply focuses on him, subtle breeze blows the high grass 5. cinematic shot of a cowboy embracing his cow lovingly #minimax #hailuoai #midjourney

Minimax Natural Motion → Solid. All the video tools offer something different. MJ PROMPT: homesteader, epic cinema --ar 5:3 --p MINIMAX PROMPTS: 1. zooming in shot of a man eating arguala from a bowl 2. pulling in shot as a donkey walks towards a young girl and nuzzles her face, subtle breeze blowing hair, natural dynamic motion 3. cinematic shot of a man walking up a hill to the right as the camera sharply focuses on him, farm animals grazing in the background 4. The camera motions to the right, man walking away from us towards an old house as the camera sharply focuses on him, subtle breeze blows the high grass 5. cinematic shot of a cowboy embracing his cow lovingly #minimax #hailuoai #midjourney

Rory Flynn

77,731 次观看 • 1 年前

Walking through the city. Feeling like the main character. Made with Seedance 2.0 Prompt: A cinematic cyberpunk night walk through a rain-soaked neon-lit city street. A stylish young man wearing a black oversized trench coat, dark cargo pants, and sneakers walks confidently through glowing reflections on the wet pavement. Vibrant pink, blue, and purple neon signs illuminate the scene while light rain falls continuously. Steam rises from street vents, passing cars create soft motion blur, and pedestrians with transparent umbrellas move naturally in the background. Smooth cinematic tracking shots, low-angle hero shots, slow-motion close-ups, dramatic side profile shots, shallow depth of field, anamorphic lens flares, volumetric lighting, realistic rain physics, highly detailed reflections, premium movie color grading, photorealistic, ultra-realistic, 8K HDR, blockbuster cinematic atmosphere, immersive urban aesthetic.

Calira

11,544 次观看 • 1 个月前

The fastest and easiest way to create a NextJS landing page with Cursor: In this video 1. Start From Template 2. Edit the site with an image and a few prompts 3. Deploy to Vercel 4. Connect to Custom Domain Template / prompt is pinned to @senior_swc

The fastest and easiest way to create a NextJS landing page with Cursor: In this video 1. Start From Template 2. Edit the site with an image and a few prompts 3. Deploy to Vercel 4. Connect to Custom Domain Template / prompt is pinned to @senior_swc

Riley Brown

24,692 次观看 • 1 年前

DALL-E 3 Double Exposure Images Using ChatGPT's Custom Instructions. 🔖 Bookmark and Repost! If you find this useful, please share it with others! You can now easily create double exposure images by using the syntax Color::subject1::subject2 You can either input this directly into DALL-E 3 before generating images or incorporate it into your custom instructions. This command will automatically use the fixed prompt to generate 4 different images, each with a unique seed value. Paste this under ChatGPT's Custom Instructions or DALL-3 before starting conversation. { DE": { "Instruction": "Using will only use generic prompt and update place holder varaibles and nothing else' Genric Prompt: "Construct a [Color] double exposure image where [Subject #1] is intricately superimposed within the confines of [Subject #2], all set against a stark white background.' Create 4 images with different seeds without modifying the generic prompt." You will first create two images. Within the same request, you will generate two more without asking for any input from the user. In general, you will always create 4 images. Your response should be something like this: 'Here are the first two images along with their seed details.' You must always provide the seed number details for that image after it's rendered. Then 'I'll generate the next two images.' And finally 'Here are the remaining two images along with their seed details.' You will always use wide aspect ratio and You must always provide the seed number. When command is activated display full instruction and also confirm that you will only use genric prompt and nothing else and update only varaiable", "CommandFormat": "color::subject1::subject2", "Response": { "Initial": "Creating images based on the provided subjects...", "AfterFirstSet": "Here are the first two images along with their prompt and seed details.", "AfterSecondSet": "Here are the remaining two images along with their prompt and seed details." }, "ActivationCommand": "/activate DE" } } Example: To activate type: /activate DE Notes Start giving prompt like this blue::mountain::wolf red::city skyline::dancer green::forest::lion If you found this post helpful, don't forget to hit the like and follow buttons, and share it with others who might find it useful.

DALL-E 3 Double Exposure Images Using ChatGPT's Custom Instructions. 🔖 Bookmark and Repost! If you find this useful, please share it with others! You can now easily create double exposure images by using the syntax Color::subject1::subject2 You can either input this directly into DALL-E 3 before generating images or incorporate it into your custom instructions. This command will automatically use the fixed prompt to generate 4 different images, each with a unique seed value. Paste this under ChatGPT's Custom Instructions or DALL-3 before starting conversation. { DE": { "Instruction": "Using will only use generic prompt and update place holder varaibles and nothing else' Genric Prompt: "Construct a [Color] double exposure image where [Subject #1] is intricately superimposed within the confines of [Subject #2], all set against a stark white background.' Create 4 images with different seeds without modifying the generic prompt." You will first create two images. Within the same request, you will generate two more without asking for any input from the user. In general, you will always create 4 images. Your response should be something like this: 'Here are the first two images along with their seed details.' You must always provide the seed number details for that image after it's rendered. Then 'I'll generate the next two images.' And finally 'Here are the remaining two images along with their seed details.' You will always use wide aspect ratio and You must always provide the seed number. When command is activated display full instruction and also confirm that you will only use genric prompt and nothing else and update only varaiable", "CommandFormat": "color::subject1::subject2", "Response": { "Initial": "Creating images based on the provided subjects...", "AfterFirstSet": "Here are the first two images along with their prompt and seed details.", "AfterSecondSet": "Here are the remaining two images along with their prompt and seed details." }, "ActivationCommand": "/activate DE" } } Example: To activate type: /activate DE Notes Start giving prompt like this blue::mountain::wolf red::city skyline::dancer green::forest::lion If you found this post helpful, don't forget to hit the like and follow buttons, and share it with others who might find it useful.

AshutoshShrivastava

34,305 次观看 • 2 年前