Loading video...

Video Failed to Load

Go Home

This is BLITZ 🏍️ starring myself. I've tested a workflow that combines two of the best AI image editing models right now, Nano Banana and Seedream 4. Using these together feels like a superpower. Seedream 4 for instance generates much more dynamic camera angles BUT Nano Banana does a...

MrDavids1's profile picture

Travis Davids

22,331 subscribers

60,829 views • 11 months ago •via X (Twitter)

Science & TechnologyGamingArts
LIVE

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Gemini 2.5 Flash Image (Nano Banana) and the collage method + generating new camera angles and then feeding that to Kling 2.1 start and end frames + Veo 3 is becoming my favorite combo. I just created this for fun to test the workflow. I've included some additional insight in this thread if you want to see how it was brought together 👍
0:33

Gemini 2.5 Flash Image (Nano Banana) and the collage method + generating new camera angles and then feeding that to Kling 2.1 start and end frames + Veo 3 is becoming my favorite combo. I just created this for fun to test the workflow. I've included some additional insight in this thread if you want to see how it was brought together 👍

Travis Davids

140,428 views • 11 months ago

BUZZ 🐝 A short sequence created using Nano Banana Pro and Grok imagine. I wanted to test Groks capabilities for action in motion. With Buzz leading the way, Tiny Timmy is having the absolute time of his life exploring the wondrous Flower Kingdom🌼 Tools for creation: - Nano Banana Pro was used to generate the base image and the additional camera angles. I wanted to personally see if I could just use 3 images so no 2x2 grid extraction technique for this but I did want to include each frame used so you can see how the sequence was combined. Grok Imagine was used for every sequence to bring it to life using image to video. - I did some post work in Capcut by adding some subtle bloom, radial motion blur and film grain as well. - I added additional sound effects by generating them using Elevenlabs and layering them (bee buzzing, flapping wings, wind and leaves rustling etc). The kids laughter was generated using Grok. The soundtrack was sourced from Artlist. It was fun testing this and putting it together just to see what Grok is capable of generating.
0:29

BUZZ 🐝 A short sequence created using Nano Banana Pro and Grok imagine. I wanted to test Groks capabilities for action in motion. With Buzz leading the way, Tiny Timmy is having the absolute time of his life exploring the wondrous Flower Kingdom🌼 Tools for creation: - Nano Banana Pro was used to generate the base image and the additional camera angles. I wanted to personally see if I could just use 3 images so no 2x2 grid extraction technique for this but I did want to include each frame used so you can see how the sequence was combined. Grok Imagine was used for every sequence to bring it to life using image to video. - I did some post work in Capcut by adding some subtle bloom, radial motion blur and film grain as well. - I added additional sound effects by generating them using Elevenlabs and layering them (bee buzzing, flapping wings, wind and leaves rustling etc). The kids laughter was generated using Grok. The soundtrack was sourced from Artlist. It was fun testing this and putting it together just to see what Grok is capable of generating.

Travis Davids

14,990 views • 7 months ago

Seedance 2.0 - Advanced Workflows Series 11. Cinematic Camera Angles through Video Gen + Specialized Storyboard AI Agent Are you already getting camera shots and angles through Nano Banana Pro? Take the next step. Seedance 2.0 has a better spatial understanding of the scene than image generation models. Because it is built to produce cinematic clips, it achieves more beautiful shots and angles than image models like Nano Banana, which are primarily made for image editing. As an added bonus, Seedance renders the entire space of the scene, so you can get tens of shots with complete spatial and element consistency in a single generation. Create a specific AI Agent to help you with storyboarding, and feed the input into Seedance to get the most cinematic shots. You can access Seedance 2.0 now on insMind (link at the end of the thread). Workflow + Prompts👇
0:31

Seedance 2.0 - Advanced Workflows Series 11. Cinematic Camera Angles through Video Gen + Specialized Storyboard AI Agent Are you already getting camera shots and angles through Nano Banana Pro? Take the next step. Seedance 2.0 has a better spatial understanding of the scene than image generation models. Because it is built to produce cinematic clips, it achieves more beautiful shots and angles than image models like Nano Banana, which are primarily made for image editing. As an added bonus, Seedance renders the entire space of the scene, so you can get tens of shots with complete spatial and element consistency in a single generation. Create a specific AI Agent to help you with storyboarding, and feed the input into Seedance to get the most cinematic shots. You can access Seedance 2.0 now on insMind (link at the end of the thread). Workflow + Prompts👇

VoxelPlot

125,934 views • 3 months ago

this is the workflow for 90% of the assets i create for myself or for clients - start in a diffusion model to get the best aesthetics - bring it into a multimodal model (Nano Banana Pro) in Higgsfield to create a second frame and/or fix details - use a high quality video model that supports start and end frames (Kling 3.0 Omni in Higgsfield) to create a sick shot in <60 seconds model literacy and knowing which ones to grab and when is one of the biggest turning points I see in AI practices. it starts to feel more like another language instead of a black box that you are always just gambling on
0:29

this is the workflow for 90% of the assets i create for myself or for clients - start in a diffusion model to get the best aesthetics - bring it into a multimodal model (Nano Banana Pro) in Higgsfield to create a second frame and/or fix details - use a high quality video model that supports start and end frames (Kling 3.0 Omni in Higgsfield) to create a sick shot in <60 seconds model literacy and knowing which ones to grab and when is one of the biggest turning points I see in AI practices. it starts to feel more like another language instead of a black box that you are always just gambling on

techbimbo

16,681 views • 1 month ago

All these demo videos make HEAD SWAPPING with Nano Banana look so easy, but then you give it a try and you're like... uh... what? Why didn't that work? Here's what I've found. Nano Banana reads your image, almost literally, so if you write on the image, it reads the text. This is how Higgsfield AI 🧩 has capitalized on the tech: "Write on the image" and give it direction, right? Totally true, but you don't need Higgi to write on your image. Nano Banana will understand your direction regardless of where you write on your image. On one hand, Higgi is really smart, because they're hranessing the tech in a unique way, but the whole "Higgsfield's Banana Placement" is a bit of a misnomer. It's more of a "Banana Placement" and Higgi is just giving you a sort of basic Photoshop-type tool to work with (again, pretty smart), but the real tech is the Banana. 🍌 This is how I head swapped heads in Runway, but Nano Banana maintains the aesthetic qualities of your image almost perfectly, whereas Runway Reference spits out a very Gen-4 looking image. I like using Nano in Freepik (now Magnific), mainly because it's fast and I can get 4 gens at a time, and you need to gen a dozen times of so before you get a winner (most of the time). I was pumped when I saw Freepik introduce the @ reference feature, just like Runway has, but it doesn't seem to work for head swapping. My guess is because that's not really how Nano Banana tech works... ideally. Marco is the person I saw using this "A" and "B" method, back when Nano was on LM Arena, and man-oh-man, it just works... like a charm. You need experiment with how much of the face you blot out, and the angle and facial expression of your new head if you want the blend to be perfect. All of the results in this video are 100% Nano Banana. I did not do any Photoshop work to the images after the fact. I really hope this helps. Let me know if you have any questions. I'm happy to help. And I'll keep posting videos like this if you guys find them useful. Let me know! And if you want more serious, one-on-one AI consultation you can throw something on the books here:
3:05

All these demo videos make HEAD SWAPPING with Nano Banana look so easy, but then you give it a try and you're like... uh... what? Why didn't that work? Here's what I've found. Nano Banana reads your image, almost literally, so if you write on the image, it reads the text. This is how Higgsfield AI 🧩 has capitalized on the tech: "Write on the image" and give it direction, right? Totally true, but you don't need Higgi to write on your image. Nano Banana will understand your direction regardless of where you write on your image. On one hand, Higgi is really smart, because they're hranessing the tech in a unique way, but the whole "Higgsfield's Banana Placement" is a bit of a misnomer. It's more of a "Banana Placement" and Higgi is just giving you a sort of basic Photoshop-type tool to work with (again, pretty smart), but the real tech is the Banana. 🍌 This is how I head swapped heads in Runway, but Nano Banana maintains the aesthetic qualities of your image almost perfectly, whereas Runway Reference spits out a very Gen-4 looking image. I like using Nano in Freepik (now Magnific), mainly because it's fast and I can get 4 gens at a time, and you need to gen a dozen times of so before you get a winner (most of the time). I was pumped when I saw Freepik introduce the @ reference feature, just like Runway has, but it doesn't seem to work for head swapping. My guess is because that's not really how Nano Banana tech works... ideally. Marco is the person I saw using this "A" and "B" method, back when Nano was on LM Arena, and man-oh-man, it just works... like a charm. You need experiment with how much of the face you blot out, and the angle and facial expression of your new head if you want the blend to be perfect. All of the results in this video are 100% Nano Banana. I did not do any Photoshop work to the images after the fact. I really hope this helps. Let me know if you have any questions. I'm happy to help. And I'll keep posting videos like this if you guys find them useful. Let me know! And if you want more serious, one-on-one AI consultation you can throw something on the books here:

Jordan Daniel Chesney

62,089 views • 11 months ago

I’ve always been a huge anime fan, especially Chainsaw Man. So I wanted to push my limits a bit and try creating a live-action version of Denji vs. Katana Man. Since anime fight scenes are known for their insane speed and intensity, translating that energy into live action became a challenge I genuinely enjoyed. This whole sequence was built using an image-to-video workflow with MiniMax Design (H3) 02 and Kling AI 2.5 Turbo, with the base images from Nano Banana Pro on Freepik (now Magnific) . Edited in CapCut Pro and upscaled with Topaz Labs for that final punch. Such a wild experiment, but honestly super fun to make. What do you think about the result?
0:27

I’ve always been a huge anime fan, especially Chainsaw Man. So I wanted to push my limits a bit and try creating a live-action version of Denji vs. Katana Man. Since anime fight scenes are known for their insane speed and intensity, translating that energy into live action became a challenge I genuinely enjoyed. This whole sequence was built using an image-to-video workflow with MiniMax Design (H3) 02 and Kling AI 2.5 Turbo, with the base images from Nano Banana Pro on Freepik (now Magnific) . Edited in CapCut Pro and upscaled with Topaz Labs for that final punch. Such a wild experiment, but honestly super fun to make. What do you think about the result?

Dinda Prasetyo

210,926 views • 9 months ago

Seedance 2.0 is insane. Blender previs is having a moment in AI filmmaking for a reason. I wanted to see how far I could push the workflow beyond a simple camera move in an ambush scene. The workflow: 1. Make a start image in Midjourney 2. Block it out in Blender, animate the camera 3. Feed both to Seedance The more I test this pipeline, the more convinced I am that hybrid pipelines are the future. The conversation is moving fast but previs is one of the clearest unlocks so far. Seedance still isn't perfect at matching the reference but it's close. You can experiment with staging, timing, and camera movement before you ever touch the video model. Solve the scene before you generate the shot.
0:44

Seedance 2.0 is insane. Blender previs is having a moment in AI filmmaking for a reason. I wanted to see how far I could push the workflow beyond a simple camera move in an ambush scene. The workflow: 1. Make a start image in Midjourney 2. Block it out in Blender, animate the camera 3. Feed both to Seedance The more I test this pipeline, the more convinced I am that hybrid pipelines are the future. The conversation is moving fast but previs is one of the clearest unlocks so far. Seedance still isn't perfect at matching the reference but it's close. You can experiment with staging, timing, and camera movement before you ever touch the video model. Solve the scene before you generate the shot.

Reid Hannaford

224,757 views • 1 month ago

AI video can look good and still feel fake. One of the biggest reasons? Camera movement. A camera does not just move from A to B. It has weight, it has momentum. A person is holding it, a gimbal operator is walking, a dolly slows down before it stops, a handheld camera reacts to the person carrying it and much more. Those tiny details are what makes AI video feel more like something that was actually filmed. So I put together my Cinematic Camera Movement Library with 40+ camera movement and realism blocks you can use in your AI video prompts. If you create AI videos, save this video. You will forget the names eventually. Want the full prompt library? Comment “PROMPT” and I will send it to you.
0:59

AI video can look good and still feel fake. One of the biggest reasons? Camera movement. A camera does not just move from A to B. It has weight, it has momentum. A person is holding it, a gimbal operator is walking, a dolly slows down before it stops, a handheld camera reacts to the person carrying it and much more. Those tiny details are what makes AI video feel more like something that was actually filmed. So I put together my Cinematic Camera Movement Library with 40+ camera movement and realism blocks you can use in your AI video prompts. If you create AI videos, save this video. You will forget the names eventually. Want the full prompt library? Comment “PROMPT” and I will send it to you.

Digital Dame

74,651 views • 9 days ago

I’ve finally applied #ViduQ3 to a narrative project for SquadBlast . It handles action sequences and explosions with a level of consistency I hadn’t seen before. I achieved camera movements I’ve had in mind for a long time that other models simply wouldn't allow me to implement. The Start-end frame option generates high-quality animations with great control, provided you choose the points wisely and give the model enough time to generate the full movement fluidly. Grok surprised me with its iteration speed. I use it to bring dynamism to establishing shots and dialogue scenes that require quick corrections. If the scene needs movement, it’s my first choice. For more paced scenes or dialogues in wide shots, I prefer Sora 2. It is better suited for maintaining character style in distant shots, where Grok tends to struggle. The music was created in Suno (Industrial Tech-Step). I was looking for a sense of movement through minor-key synth arpeggios and extreme reverb. The "Studio" feature allowed me to precisely control the intro length and the exact point where the kick hits. Finally, a huge thanks to Framer 🇱🇹 for the amazing work on Cartoon Hero and for helping me connect with the professional world, and to OscarAI for his SREFs. I didn't have much time to develop the art style from scratch, so I used one of the SREF he shares. It fit perfectly with the bluish palette and the Otomo-inspired retro sci-fi style I was aiming for. It easily saved me a full day of work. IF ANYONE HAS ANY TECHNICAL KNOW-HOW QUESTIONS RELATED TO ANY SEQUENCE FEEL FREE TO ASK IN THE COMMENTS.
1:35

I’ve finally applied #ViduQ3 to a narrative project for SquadBlast . It handles action sequences and explosions with a level of consistency I hadn’t seen before. I achieved camera movements I’ve had in mind for a long time that other models simply wouldn't allow me to implement. The Start-end frame option generates high-quality animations with great control, provided you choose the points wisely and give the model enough time to generate the full movement fluidly. Grok surprised me with its iteration speed. I use it to bring dynamism to establishing shots and dialogue scenes that require quick corrections. If the scene needs movement, it’s my first choice. For more paced scenes or dialogues in wide shots, I prefer Sora 2. It is better suited for maintaining character style in distant shots, where Grok tends to struggle. The music was created in Suno (Industrial Tech-Step). I was looking for a sense of movement through minor-key synth arpeggios and extreme reverb. The "Studio" feature allowed me to precisely control the intro length and the exact point where the kick hits. Finally, a huge thanks to Framer 🇱🇹 for the amazing work on Cartoon Hero and for helping me connect with the professional world, and to OscarAI for his SREFs. I didn't have much time to develop the art style from scratch, so I used one of the SREF he shares. It fit perfectly with the bluish palette and the Otomo-inspired retro sci-fi style I was aiming for. It easily saved me a full day of work. IF ANYONE HAS ANY TECHNICAL KNOW-HOW QUESTIONS RELATED TO ANY SEQUENCE FEEL FREE TO ASK IN THE COMMENTS.

VoxelPlot

17,771 views • 6 months ago

Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.
0:46

Seedance 2.0 is allowing us to enter a new era of music video creation. Here is how I created HONEY. It was a quick test to see how well this workflow holds up. 🐝 1 - Write your song and generate the music with Suno 5.5. 2 - Use an image generator of your choice. For HONEY I combined both Grok Imagine for aesthetics and Nano Banana Pro for refined editing. 3 - In Capcut I import my audio and just save out a blank video video containing the audio. This step is important because this video file containing audio will now be used with Seedance 2.0 as a video reference with Omni. This allows the AI to apply automatic and realistic lipsync and movement to the music, it's extremely powerful! 4 - Once I have a both my image and video with audio as reference, I use Seedance 2.0 Omni and upload my starting image and then the video reference with the audio. 5 - From here I'm simply prompting like normal, specifying what's happening in my scene with detailed instructions, mentioning multi shots and camera angle changes and then specifying that the person is singing along to the song. I type out the lyrics that are present to have better lipsync accuracy. 6 - Once I have generated a video and like the result, I do video to video, so i upload that video that just got generated and type "The scene continues" and prompt new actions to take place. This allows you to expand on a narrative. These new shots can be used as B-ROLL and since I uploaded my video as reference I have full consistency of everything it saw in the video. This is also extremely powerful. 7 - This is actually the most difficult part. Edit in Capcut. This is where you need to understand pacing and shot selection from all the scenes you generated to bring it all together. You must be strategic with the editing. Goodluck! I'll probably record a video tutorial at some point as it's easier to see what is being done.

Travis Davids

19,236 views • 4 months ago

Change Your Camera Angles: 👊Qwen vs. Nano Banana. 👊 I hear a lot of people saying, "Finally, we can move our camera around in a scene with Qwen!" And that's true. But you've definitely been able to do this with Nano Banana, it's just more work. However, the 🍌offers far more control. I wanted to do a comparative analysis: Qwen vs. Nano Banana (on Freepik). What do you think? Who's the winner? I believe Nano Banana 2 is about to drop. Who knows... maybe this tutorial will be dated by the end of the day🤞 Qwen:
3:39

Change Your Camera Angles: 👊Qwen vs. Nano Banana. 👊 I hear a lot of people saying, "Finally, we can move our camera around in a scene with Qwen!" And that's true. But you've definitely been able to do this with Nano Banana, it's just more work. However, the 🍌offers far more control. I wanted to do a comparative analysis: Qwen vs. Nano Banana (on Freepik). What do you think? Who's the winner? I believe Nano Banana 2 is about to drop. Who knows... maybe this tutorial will be dated by the end of the day🤞 Qwen:

Jordan Daniel Chesney

18,443 views • 9 months ago

Here's a look behind the scenes of how I used a 3d model, generated from an image, as a "driver" for ai animation. In the near future we'll see more 3d tools that support these types of workflows, with much more emphasis on enhancing user input instead of just letting the ai do everything. I used the 3d model to generate keyframes that I then animated in Luma Dream. By using a 3d model with a diffusion "layer" done with Krea, I got quite high quality frames with a relatively high consistency as well since the AI didn't have to "hallucinate" that much. I upscaled and detailed the frames using Magnific. Using semi-detailed 3d models as drivers for gen ai is very powerful, and it allows us to use models that are sculpted in a more free-flowing type of workflow that doesn't rely so much on high surface detailing or very time-consuming finish, but instead relies more on gestural 3d sculpting. #art #ai
0:24

Here's a look behind the scenes of how I used a 3d model, generated from an image, as a "driver" for ai animation. In the near future we'll see more 3d tools that support these types of workflows, with much more emphasis on enhancing user input instead of just letting the ai do everything. I used the 3d model to generate keyframes that I then animated in Luma Dream. By using a 3d model with a diffusion "layer" done with Krea, I got quite high quality frames with a relatively high consistency as well since the AI didn't have to "hallucinate" that much. I upscaled and detailed the frames using Magnific. Using semi-detailed 3d models as drivers for gen ai is very powerful, and it allows us to use models that are sculpted in a more free-flowing type of workflow that doesn't rely so much on high surface detailing or very time-consuming finish, but instead relies more on gestural 3d sculpting. #art #ai

Martin Nebelong

48,259 views • 2 years ago

This is the best action anime you can create right now with AI (Kling 2.6), and it’s already not that far from major Netflix productions 🔥🎬 The speed, the dynamism, the angles, and the camera movements are spectacular. Now imagine how this will look in a year. Like it or not, in a very short time all anime will be made with AI. And people will love it ❤️
2:08

This is the best action anime you can create right now with AI (Kling 2.6), and it’s already not that far from major Netflix productions 🔥🎬 The speed, the dynamism, the angles, and the camera movements are spectacular. Now imagine how this will look in a year. Like it or not, in a very short time all anime will be made with AI. And people will love it ❤️

OscarAI

143,969 views • 8 months ago

I was invited to test OpenArt Director. I made this nearly 1-minute cinematic video through conversation, starting with only an initial idea, two character images, and one background image. This is what vibe directing feels like. A few details impressed me: Director first generates the voiceover, then uses it as reference audio for Seedance 2.0. That makes the character voices feel much more natural and better synced. After the character images, it also helps create storyboard frames and camera reference images. That massively improves the final generation quality. It feels less like writing a prompt, and more like building a shot with an AI production team.
0:56

I was invited to test OpenArt Director. I made this nearly 1-minute cinematic video through conversation, starting with only an initial idea, two character images, and one background image. This is what vibe directing feels like. A few details impressed me: Director first generates the voiceover, then uses it as reference audio for Seedance 2.0. That makes the character voices feel much more natural and better synced. After the character images, it also helps create storyboard frames and camera reference images. That massively improves the final generation quality. It feels less like writing a prompt, and more like building a shot with an AI production team.

underwood

16,581 views • 2 months ago

I never believed A.I. could replicate the quality of 3D channels like ZackDFilms. But that is coming to an end. It was always so far off, required so much prompting and you just faced too much bs. However, the gap between A.I and high quality 3D animations really is closing faster than I thought. A person who has barely any editing experience can now make a video like the one I linked below by using Nano Banana Pro + Kling A.I. Yes, it may not be quite there yet. Yes, it still requires a lot of prompting. But this is not slop content. And it's improving rapidly. Those who believe these A.I. videos won't reach the top standard we see in 3D Shorts are just coping imo. Paired with voiceover + sound design, you have a high quality video done for a fraction of the cost and time. The need for advanced skills is disappearing, which has big pros and cons. I'm very curious to see what will be considered as 'high barrier to entry' in the short-form space by the end of next year. The opportunities are endless with A.I. - you have to use it to your advantage.
0:50

I never believed A.I. could replicate the quality of 3D channels like ZackDFilms. But that is coming to an end. It was always so far off, required so much prompting and you just faced too much bs. However, the gap between A.I and high quality 3D animations really is closing faster than I thought. A person who has barely any editing experience can now make a video like the one I linked below by using Nano Banana Pro + Kling A.I. Yes, it may not be quite there yet. Yes, it still requires a lot of prompting. But this is not slop content. And it's improving rapidly. Those who believe these A.I. videos won't reach the top standard we see in 3D Shorts are just coping imo. Paired with voiceover + sound design, you have a high quality video done for a fraction of the cost and time. The need for advanced skills is disappearing, which has big pros and cons. I'm very curious to see what will be considered as 'high barrier to entry' in the short-form space by the end of next year. The opportunities are endless with A.I. - you have to use it to your advantage.

igorm

202,383 views • 8 months ago

Ok, this is absurd. You can choreograph a complex action scene in Blender with basic shapes, then let Seedance make it real. You need to try this AI filmmaking workflow: 1. Generate a start frame in Midjourney 2. Block out the action in Blender 3. Feed both to Seedance My Blender reference was just rough timing, camera shake, and spatial choreography, and Seedance tracked the speed, motion, and action way better than I expected. This is the difference between describing a shot and directing one.
0:30

Ok, this is absurd. You can choreograph a complex action scene in Blender with basic shapes, then let Seedance make it real. You need to try this AI filmmaking workflow: 1. Generate a start frame in Midjourney 2. Block out the action in Blender 3. Feed both to Seedance My Blender reference was just rough timing, camera shake, and spatial choreography, and Seedance tracked the speed, motion, and action way better than I expected. This is the difference between describing a shot and directing one.

Reid Hannaford

525,653 views • 2 months ago

I still can't believe this works! Every filmmaker needs to try the hybrid AI filmmaking + Blender previs workflow for precise camera control. AI dialogue is still flat but I'm going to dive into solving that next. My workflow: 1. Generate a start frame in Midjourney 2. Block out the scene in Blender, animate the camera 3. Feed both to Seedance So much of cinematic storytelling is composition, timing, and giving the viewer a spatial understanding of the scene. You can solve all of that before you ever touch the video model.
0:36

I still can't believe this works! Every filmmaker needs to try the hybrid AI filmmaking + Blender previs workflow for precise camera control. AI dialogue is still flat but I'm going to dive into solving that next. My workflow: 1. Generate a start frame in Midjourney 2. Block out the scene in Blender, animate the camera 3. Feed both to Seedance So much of cinematic storytelling is composition, timing, and giving the viewer a spatial understanding of the scene. You can solve all of that before you ever touch the video model.

Reid Hannaford

17,468 views • 1 month ago