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i created this WWII documentary just with AI video models no After Effects no Remotion or complex setups no $1000 spent on an editor it took Calliope 30 seconds (yes, 30 seconds) to animate all the clips in parallel here's how: 1- reuse the image + video prompts from...

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Sergio Gil

3,545 subscribers

102,232 просмотров • 18 дней назад •via X (Twitter)

ИскусствоНаука и технологии
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Фото профиля Brjan | AI Builder
Brjan | AI Builder18 дней назад

30 seconds is impressive, but the results can vary widely based on prompt quality

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i created this Vietnam War documentary in a few minutes just using the 2 preset prompts from this article this is how: 1- copy-pasted both image & video prompts 2- sent them to Claude 3- used the Calliope MCP connector to create a template in 16:9 4- generated ideas + a 1 min script for this example (you can generate up to 60 mins 💀) 5- created the video using the Extra High models which is now 50% cheaper than yesterday! (this is permanent) minimax h3 (calliope’s Ex.H model) cooked these amazing motion graphic animations ⬇️ this was one-shot, and has obvious quirks, like putting red strings all over the place. It'd just be a matter of correcting that… “NO red strings” in the Video Style (one sentence), and iterating :)
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i created this Vietnam War documentary in a few minutes just using the 2 preset prompts from this article this is how: 1- copy-pasted both image & video prompts 2- sent them to Claude 3- used the Calliope MCP connector to create a template in 16:9 4- generated ideas + a 1 min script for this example (you can generate up to 60 mins 💀) 5- created the video using the Extra High models which is now 50% cheaper than yesterday! (this is permanent) minimax h3 (calliope’s Ex.H model) cooked these amazing motion graphic animations ⬇️ this was one-shot, and has obvious quirks, like putting red strings all over the place. It'd just be a matter of correcting that… “NO red strings” in the Video Style (one sentence), and iterating :)

Sergio Gil

51,597 просмотров • 29 дней назад

Just generated this Podcast in 30 seconds 1. Use MakeUGC to animate an AI character 2. Upload a vertical video 3. Choose a voice to match the other voice 4. replace the AI character in the video with another image comment "POD" and I'll send you the full workflow
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Just generated this Podcast in 30 seconds 1. Use MakeUGC to animate an AI character 2. Upload a vertical video 3. Choose a voice to match the other voice 4. replace the AI character in the video with another image comment "POD" and I'll send you the full workflow

Cas.Fyn

17,300 просмотров • 6 месяцев назад

we just dropped the cost of animating these VoxStyle documentaries by almost 4x Extra High model (right): $12.96/min new Medium model (left): $3.30/min 74% cheaper! quality is SO decent given the extreme cut in budget this comes after the Extra High model cost already been reduced by 50% (permanent, not a launch promo) 2 months ago this would've cost $25/min 💀 so i tested the limit: 2 preset prompts from the quoted article, one shot, zero manual fixes 1- copy-pasted both image & video prompts of this article 2- sent them to Claude 3- built a 16:9 template through the Calliope MCP 4- generated ideas + a 1 min script 5- rendered one shot, so it has obvious quirks. it put red strings all over the place. But the medium model doesn't do that! fixing it though, is literally 1 sentence in the Video Style ("no red strings"). (and you can go up to 60 mins) watch both and decide which one you'd actually ship the exact image + video prompts are in the quoted article CalliopeLabs turns them into the references, scenes, animation and final edit without having to switch between tools
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we just dropped the cost of animating these VoxStyle documentaries by almost 4x Extra High model (right): $12.96/min new Medium model (left): $3.30/min 74% cheaper! quality is SO decent given the extreme cut in budget this comes after the Extra High model cost already been reduced by 50% (permanent, not a launch promo) 2 months ago this would've cost $25/min 💀 so i tested the limit: 2 preset prompts from the quoted article, one shot, zero manual fixes 1- copy-pasted both image & video prompts of this article 2- sent them to Claude 3- built a 16:9 template through the Calliope MCP 4- generated ideas + a 1 min script 5- rendered one shot, so it has obvious quirks. it put red strings all over the place. But the medium model doesn't do that! fixing it though, is literally 1 sentence in the Video Style ("no red strings"). (and you can go up to 60 mins) watch both and decide which one you'd actually ship the exact image + video prompts are in the quoted article CalliopeLabs turns them into the references, scenes, animation and final edit without having to switch between tools

Sergio Gil

60,567 просмотров • 5 дней назад

i rebuilt the Odyssey the way Homer actually wrote it and handed the whole thing to AI: the gods, the monsters, the fights the movies always skip, scored like the real thing... but it's not, the whole thing was one-shotted by AI in an hour, here's how you can do the same: > access Higgsfield Supercomputer: all image & video models, plus all the skills you need > feed 5-10 stills from a film you love to a vision model and lock its answer into a style contract > build it as 14-16 isolated shots of 3-5 seconds, never one continuous scene, identity drift starts past 30 seconds > animate stills, not ideas: every clip starts from a locked keyframe with a named camera move and an in-scene event > chain shots: the last frame of one clip becomes the reference of the next, continuity for free > time-code the climax inside one generation: [0-4s] wide, [4-8s] push in, [8-12s] close up, [12-15s] reveal > brief the score in movements (build, peak, quiet, resolve), then trim the cut to the music the full system, prompts included, is in the article:
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i rebuilt the Odyssey the way Homer actually wrote it and handed the whole thing to AI: the gods, the monsters, the fights the movies always skip, scored like the real thing... but it's not, the whole thing was one-shotted by AI in an hour, here's how you can do the same: > access Higgsfield Supercomputer: all image & video models, plus all the skills you need > feed 5-10 stills from a film you love to a vision model and lock its answer into a style contract > build it as 14-16 isolated shots of 3-5 seconds, never one continuous scene, identity drift starts past 30 seconds > animate stills, not ideas: every clip starts from a locked keyframe with a named camera move and an in-scene event > chain shots: the last frame of one clip becomes the reference of the next, continuity for free > time-code the climax inside one generation: [0-4s] wide, [4-8s] push in, [8-12s] close up, [12-15s] reveal > brief the score in movements (build, peak, quiet, resolve), then trim the cut to the music the full system, prompts included, is in the article:

Machina

51,221 просмотров • 2 месяцев назад

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)
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This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

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here's how to make ultra realistic AI podcasts: - generate first frames with nano banana pro (prompt is key here) - upscale images - animate with VEO 3 that's it. it literally takes just a few minutes to go from ‘slop’ to ultra-realistic ai videos you can fix voices with minimax or in post production and it'll look indistinguishable from a real video the only difference is the prompt and the workflow

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GPT 2 Images X Seedance 2.0 Animation with 30 second storyboard Don’t ask AI to “make a video.”Give it a production board. image/video Prompts and guide in the thread🧵 I made a 30-second animated video from a short sentence using only 3 steps: The trick is simple: Start with a short story, then turn both parts into one clean cinematic storyboard. Animate with seedance 2.0

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Take your AI videos to the next level with this workflow! Learn how to create cinematic grids, extract stills, and animate using the latest video models in Higgsfield. All the info’s in this thread 👇
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Take your AI videos to the next level with this workflow! Learn how to create cinematic grids, extract stills, and animate using the latest video models in Higgsfield. All the info’s in this thread 👇

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Claude Code can ship a 45-second animated explainer ad in 30 minutes. No video editor needed, just CC + skills. Here's how I made this video for Soteri Skin 👇 1. /plan Concept Brief (Claude Code) I handwrite a concept brief, then chat with the agent to iterate on it. The agent gathers any raw materials we might need - context about the brand, product images, end card, etc. The concept brief details the concept, characters, visual style, script, etc 2. /prepare a moodboard (CC + GPT Image 2 + ElevenLabs) After reviewing the script, generate: - character reference images - voiceover samples for the characters / narrator - the storyboard (scene by scene grid) - a few keyframe scenes 3. /generate Keyframes for each scene (CC uses Nano Banana or GPT Image 2) Uses the character references from the previous step to generate keyframes for each scene. I probably should have done a round of iteration at this step – there's some character drift and the pH meter representation could have been better. 4. /animate Keyframe → Animated Clip (CC uses Fal Seedance) Generate 2-4 representative scenes first to see a preview. If it looks good, then generate everything. 5. /stitch (CC + ffmpeg + ElevenLabs) - Stitch clips together with hard cut - Add a music score + SFX - Sync clips to the VO - Add captions - Review and edit timing / pacing issues 6. /watch the final cut and review it - as a video editor for technical errors (mismatched voiceover and visuals, AI hallucinations, etc) - as a viewer (ICP). I delegate most of the review to the agent because it catches more things and keeps me out of the loop as much as possible. It also fixes any issues found in the review. That's it. This video took me 30 minutes because I have already created skills for everything I described above. Some day, this will be < 5 minutes. I just review and chat to provide direction and feedback. The skills do all the technical work. 7. /learn Extracts learnings and updates the skills. This final step is really important. It turns this process into a closed loop system that makes the next video much easier to create because all the learnings from the human-in-the-loop process get encoded into code. Skills are code too. If you want access to the skill, drop a comment, and I'll DM it to you (must be following). If you want to make AI video ads like this, DM me.

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I'm playing around with generative AI tools and stitching them together into visual stories. Here I took the first few sentences of Pride and Prejudice and made it into a video. The gen stack used for this one: - Anthropic Claude took the first chapter, generated the scenes and the individual prompts to to the image generator. - Ideogram took the prompts and generate the images - Luma took the images and animated them - for narration - VEED | AI Video Creation to stitch it together (Many of these choices are just what I happened to use for this one while exploring a bunch of things). Anyway honestly it was pretty messy and there is a ton of copy pasting between all of the tools, and even this little video with 3 scenes took me about an hour. There is a huge storytelling opportunity here for whoever can make this convenient. Who is building the first 100% AI-native movie maker?

Andrej Karpathy

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this guy built an AI video pipeline that turns one prompt into a finished short. he barely opens editing software. give Claude a simple idea. in the demo: a puppy rescue story. Claude runs the entire production from there: → generates the images with Nano Banana 2 → turns them into motion with Kinovi / Seedance 2.0 → stitches the clips together with FFmpeg → uploads the finished video no manually generating every frame. no dragging clips around a timeline for an hour. no stitching together the edit by hand. here’s the actual shift, and it’s bigger than “AI made a video”: Claude isn’t just one tool in the chain anymore. it’s coordinating the whole chain deciding what goes where, which tool handles which step, and executing it end to end. idea → images → video clips → edit → final render. one prompt in, finished short out. most people are still using AI one tool at a time generate an image here, cut it there, stitch it somewhere else, doing the coordination themselves. the bigger unlock isn’t a better individual tool. it’s connecting the tools so nothing needs a human in between steps. give it an idea. let the system make the video.

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I spent 5 hours today making OpenClaw even better at Motion Graphics I created the video below in 2 prompts with no asset uploads. It scraped or generated everything from a text prompt. I've added: - better brand scraping - image generation - video generation - music generation and scraping - better transitions on first prompt - basically zero errors - Always outputs a link to the editor you see below so I can open it from any device... (I can create and edit from telegram) Still work to do I will make a video this weekend and release the skill. It's the best remotion skill that exists imo.

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ON THE APP: → Tap on 'Imagine' in the app → Choose 'Video' from the prompt box → Tap on 'Animate Photos' → Select up to 7 images → Write your prompt → Tap the reference image while the cursor is where you want it to appear in the prompt. Repeat for every image. → Check the settings before sending the prompt for aspect ratio, video duration, and resolution. → Hit send and wait. Now you can use the same character, object, scene, or anything else across different videos.

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the engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work I've seen $300 courses that don't cover what he shows in the first 10 minutes CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns all in one video and completely free after watching this, the next step is agents I wrote a full guide on how to build one yourself with Claude Code article below
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the engineer who built Claude Code just dropped a 28-minute video on how to write prompts that actually work I've seen $300 courses that don't cover what he shows in the first 10 minutes CLAUDE.md files, memory shortcuts, parallel sessions, prompting patterns all in one video and completely free after watching this, the next step is agents I wrote a full guide on how to build one yourself with Claude Code article below

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This style of AI renovation video is helping RE agents and contractors close more deals (and it starts with a single photo). No staging company. No 3D rendering service. No $2K virtual staging package. Just one image and 10 minutes inside Calico AI. Here's how the system works: → Drop any room photo into the AI Room Renovator GPT → Choose a renovation style: modern, coastal, luxury → It hands you a perfectly tuned image prompt → Paste it inside Calico along with the original photo → Generate the renovated room in seconds → Open Kling 3.0 (same platform, no switching tools) — set original as start, renovation as end → Generate the animation — the room transforms before your eyes Before to after. In a video. From one photo. Drop that into a listing, an ad, or a client walkthrough and watch what happens. Comment "RENOVATE" and I'll send you the exact GPT link, prompts, and workflow (must be following so I can DM you!).

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34,851 просмотров • 6 месяцев назад

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Have you tried the latest annotation feature in the Hermes Desktop app? I asked Hermes to open up huggingface in the in-app browser, review all the trending models that would fit on my Spark, and annotate them It didn't just draw boxes, it labeled them in the format and conditions they would fit It also works with images. I asked Hermes to find images from today's Browns preseason game and annotate all the images with QBs It also works INSIDE single images. I had Hermes find an image of the Supreme Court, and annotate all the justices based on the part of the president that nominated them. It created a standalone html file with clear boxes Another new way to interact and work together with Hermes! How would you use it?

tonbi

47,141 просмотров • 1 месяц назад

A 19-euro tool just replaced 8,000 Meta employees. Here’s the exact workflow a TikTok creator used to build AI influencer videos from scratch — no camera, no team, no budget. Step 1. Open Pinterest. Search “Girl Self.” Save the image you like. Open Nanobanana Pro. Step 2. Swap the face using a single prompt. (Link at the bottom.) Step 3. Take your generated photo into Crust. Currently the easiest video-from-image tool on the market. Step 4. Create 3 nodes: reference image, text, video generator. Step 5. Drop your photo into the image node. Write a video prompt into the text field. This is what makes the photo move. Step 6. Connect the nodes. Text to text-in. Image to image-in. Select Kling 2.6. Set duration. Toggle sound. Step 7. Hit generate. 2 prompts. 1 AI girl. 0 employees. Meta spent $14B on Reality Labs last year to build digital humans. This creator built one in 7 minutes for less than a dinner. The prompts are free in the reply.
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A 19-euro tool just replaced 8,000 Meta employees. Here’s the exact workflow a TikTok creator used to build AI influencer videos from scratch — no camera, no team, no budget. Step 1. Open Pinterest. Search “Girl Self.” Save the image you like. Open Nanobanana Pro. Step 2. Swap the face using a single prompt. (Link at the bottom.) Step 3. Take your generated photo into Crust. Currently the easiest video-from-image tool on the market. Step 4. Create 3 nodes: reference image, text, video generator. Step 5. Drop your photo into the image node. Write a video prompt into the text field. This is what makes the photo move. Step 6. Connect the nodes. Text to text-in. Image to image-in. Select Kling 2.6. Set duration. Toggle sound. Step 7. Hit generate. 2 prompts. 1 AI girl. 0 employees. Meta spent $14B on Reality Labs last year to build digital humans. This creator built one in 7 minutes for less than a dinner. The prompts are free in the reply.

RGK

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From a single image, you can create CSI scenes in minutes with AI! all you need are the right prompts and models, and I’ll show you how to do it on Freepik just below 👇

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