Prism and Higgsfield are both similar in that we bring many AI models into one place. Higgsfield is focused on a number of different use cases - storyboarding, ai filmmaking, and visual effects - while Prism is hyper-focused on short form video.
ive tried like 5 of these all-in-one AI video platforms and always end up back at my own script. the problem isnt the "glue work" between tools honestly - thats like 20 lines of python. the problem is when the platform abstracts over the model APIs so much that you cant access new params when kling or whoever ships an update. how quickly do yall expose new model features when providers update? thats the make or break thing IMO
To be honest it doesn't take long to add a new model/params. It's evaluating the models to see if they're even worth including that takes the most time.
This is a great point. It is challenging to know which models are good at what.
We've found that Seedance is good at photorealitic faces, Kling is fantastic at generating audio (highest quality model in terms of syncing character's face to the words they say imo), and Sora is great at UGC.
Hey, I've been looking to experiment with Kling 3.0. How does this compare to Higgsfield?
We support Kling 3.0 on our platform, similar to Higgsfield. You can see some presets here: https://prismvideos.com/workspace/templates.
What are some reasons I should consider Prism over Higgsfield?
Prism and Higgsfield are both similar in that we bring many AI models into one place. Higgsfield is focused on a number of different use cases - storyboarding, ai filmmaking, and visual effects - while Prism is hyper-focused on short form video.
You can give Prism a try at https://prismvideos.com - I'm excited to hear your feedback.
ive tried like 5 of these all-in-one AI video platforms and always end up back at my own script. the problem isnt the "glue work" between tools honestly - thats like 20 lines of python. the problem is when the platform abstracts over the model APIs so much that you cant access new params when kling or whoever ships an update. how quickly do yall expose new model features when providers update? thats the make or break thing IMO
We access models through Fal (https://fal.ai). We offered day 0 support for Kling 3.0 and launch models on our platform the day they are live.
Would be curious to see your script.
I've had that problem with my free Chrome extension: (bring your own fal.ai key)
https://chromewebstore.google.com/detail/ai-slop-canvas/dogg...
To be honest it doesn't take long to add a new model/params. It's evaluating the models to see if they're even worth including that takes the most time.
This is a great point. It is challenging to know which models are good at what.
We've found that Seedance is good at photorealitic faces, Kling is fantastic at generating audio (highest quality model in terms of syncing character's face to the words they say imo), and Sora is great at UGC.
You use the same name with a research writing tool from OpenAI
https://openai.com/prism
yeah, SEO has been an issue for us lol