If you want to try it out, you can either (1) go to https://studio.infinity.ai/try-inf2, or (2) post a comment in this thread describing a character and we\u2019ll generate a video for you and reply with a link. For example: \n\u201cMona Lisa saying \u2018what the heck are you smiling at?\u2019\u201d: https://bit.ly/3z8l1TM \n\u201cA 3D pixar-style gnome with a pointy red hat reciting the Declaration of Independence\u201d: https://bit.ly/3XzpTdS \n\u201cElon Musk singing Fly Me To The Moon by Sinatra\u201d: https://bit.ly/47jyC7C
Our tool at Infinity allows creators to type out a script with what they want their characters to say (and eventually, what they want their characters to do) and get a video out. We\u2019ve trained for about 11 GPU years (~$500k) so far and our model recently started getting good results, so we wanted to share it here. We are still actively training.
We had trouble creating videos of good characters with existing AI tools. Generative AI video models (like Runway and Luma) don\u2019t allow characters to speak. And talking avatar companies (like HeyGen and Synthesia) just do lip syncing on top of the previously recorded videos. This means you often get facial expressions and gestures that don\u2019t make sense with the audio, resulting in the \u201cuncanny\u201d look you can\u2019t quite put your finger on. See blog.
When we started Infinity, our V1 model took the lip syncing approach. In addition to mismatched gestures, this method had many limitations, including a finite library of actors (we had to fine-tune a model for each one with existing video footage) and an inability to animate imaginary characters.
To address these limitations in V2, we decided to train an end-to-end video diffusion transformer model that takes in a single image, audio, and other conditioning signals and outputs video. We believe this end-to-end approach is the best way to capture the full complexity and nuances of human motion and emotion. One drawback of our approach is that the model is slow despite using rectified flow (2-4x speed up) and a 3D VAE embedding layer (2-5x speed up).
Here are a few things the model does surprisingly well on: (1) it can handle multiple languages, (2) it has learned some physics (e.g. it generates earrings that dangle properly and infers a matching pair on the other ear), (3) it can animate diverse types of images (paintings, sculptures, etc) despite not being trained on those, and (4) it can handle singing. See blog.
Here are some failure modes of the model: (1) it cannot handle animals (only humanoid images), (2) it often inserts hands into the frame (very annoying and distracting), (3) it\u2019s not robust on cartoons, and (4) it can distort people\u2019s identities (noticeable on well-known figures). See blog.
Try the model here: https://studio.infinity.ai/try-inf2
We\u2019d love to hear what you think!"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["infinity"],"value":"Show HN: Infinity \u2013 Realistic AI characters that can speak"}},"_tags":["story","author_lcolucci","story_41467704","show_hn"],"author":"lcolucci","children":[41467807,41467870,41468005,41468049,41468051,41468101,41468124,41468144,41468190,41468248,41468254,41468257,41468305,41468319,41468370,41468377,41468458,41468494,41468506,41468515,41468520,41468548,41468578,41468612,41468620,41468629,41468801,41468942,41469022,41469064,41469101,41469151,41469195,41469224,41469301,41469423,41469531,41469544,41469546,41469557,41469907,41470041,41470055,41470103,41470214,41470270,41470279,41470414,41470529,41470615,41470713,41470790,41470824,41470829,41470844,41470876,41470929,41471045,41471052,41471118,41471397,41471464,41471886,41472116,41472362,41472405,41472669,41472823,41472828,41472839,41472864,41473049,41473069,41473406,41473458,41473613,41473614,41474098,41474653,41474702,41475566,41475811,41476361,41476749,41476801,41484083,41484285,41516335],"created_at":"2024-09-06T16:47:04Z","created_at_i":1725641224,"num_comments":294,"objectID":"41467704","points":481,"story_id":41467704,"story_text":"Hey HN, this is Lina, Andrew, and Sidney from Infinity AI (https://infinity.ai/). We've trained our own foundation video model focused on people. As far as we know, this is the first time someone has trained a video diffusion transformer that\u2019s driven by audio input. This is cool because it allows for expressive, realistic-looking characters that actually speak. Here\u2019s a blog with a bunch of examples: https://toinfinityai.github.io/v2-launch-page/
If you want to try it out, you can either (1) go to https://studio.infinity.ai/try-inf2, or (2) post a comment in this thread describing a character and we\u2019ll generate a video for you and reply with a link. For example: \n\u201cMona Lisa saying \u2018what the heck are you smiling at?\u2019\u201d: https://bit.ly/3z8l1TM \n\u201cA 3D pixar-style gnome with a pointy red hat reciting the Declaration of Independence\u201d: https://bit.ly/3XzpTdS \n\u201cElon Musk singing Fly Me To The Moon by Sinatra\u201d: https://bit.ly/47jyC7C
Our tool at Infinity allows creators to type out a script with what they want their characters to say (and eventually, what they want their characters to do) and get a video out. We\u2019ve trained for about 11 GPU years (~$500k) so far and our model recently started getting good results, so we wanted to share it here. We are still actively training.
We had trouble creating videos of good characters with existing AI tools. Generative AI video models (like Runway and Luma) don\u2019t allow characters to speak. And talking avatar companies (like HeyGen and Synthesia) just do lip syncing on top of the previously recorded videos. This means you often get facial expressions and gestures that don\u2019t make sense with the audio, resulting in the \u201cuncanny\u201d look you can\u2019t quite put your finger on. See blog.
When we started Infinity, our V1 model took the lip syncing approach. In addition to mismatched gestures, this method had many limitations, including a finite library of actors (we had to fine-tune a model for each one with existing video footage) and an inability to animate imaginary characters.
To address these limitations in V2, we decided to train an end-to-end video diffusion transformer model that takes in a single image, audio, and other conditioning signals and outputs video. We believe this end-to-end approach is the best way to capture the full complexity and nuances of human motion and emotion. One drawback of our approach is that the model is slow despite using rectified flow (2-4x speed up) and a 3D VAE embedding layer (2-5x speed up).
Here are a few things the model does surprisingly well on: (1) it can handle multiple languages, (2) it has learned some physics (e.g. it generates earrings that dangle properly and infers a matching pair on the other ear), (3) it can animate diverse types of images (paintings, sculptures, etc) despite not being trained on those, and (4) it can handle singing. See blog.
Here are some failure modes of the model: (1) it cannot handle animals (only humanoid images), (2) it often inserts hands into the frame (very annoying and distracting), (3) it\u2019s not robust on cartoons, and (4) it can distort people\u2019s identities (noticeable on well-known figures). See blog.
Try the model here: https://studio.infinity.ai/try-inf2
We\u2019d love to hear what you think!","title":"Show HN: Infinity \u2013 Realistic AI characters that can speak","updated_at":"2026-06-28T09:02:48Z"},{"_highlightResult":{"author":{"matchLevel":"none","matchedWords":[],"value":"billpg"},"title":{"fullyHighlighted":false,"matchLevel":"full","matchedWords":["infinity"],"value":"ASCIIFlow Infinity"},"url":{"matchLevel":"none","matchedWords":[],"value":"http://asciiflow.com/"}},"_tags":["story","author_billpg","story_16051428"],"author":"billpg","children":[16051553,16051559,16051618,16051643,16051658,16051663,16051700,16051801,16051878,16051940,16051977,16052011,16052094,16052143,16052194,16052297,16052497,16052507,16052760,16053683,16053769,16054164,16054208,16055588,16056223,16056662,16057824,16059912],"created_at":"2018-01-02T12:14:04Z","created_at_i":1514895244,"num_comments":56,"objectID":"16051428","points":368,"story_id":16051428,"title":"ASCIIFlow 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