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User demonstrates 10-part Stable Diffusion video generation taking nearly 4 hours

A user on Reddit shared a video showcasing a scene generated through ten separate text-to-video (t2v) iterations, totaling nearly four hours of processing time on a 3090 GPU. This approach was taken in response to suggestions to move away from continuous one-minute takes and instead focus on creating shorter, cut-based scenes. The user provided a link to the original discussion thread where this method was proposed. AI

IMPACT Demonstrates a workflow for generating longer video sequences with AI, highlighting the computational cost and iterative nature of current text-to-video models.

RANK_REASON User-generated content demonstrating a specific application of an existing AI tool.

Read on r/StableDiffusion →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

User demonstrates 10-part Stable Diffusion video generation taking nearly 4 hours

COVERAGE [1]

  1. r/StableDiffusion TIER_2 English(EN) · /u/DeliciousGorilla ·

    For those who told me to ditch the continuous 1 minute take and make cuts instead

    <table> <tr><td> <a href="https://www.reddit.com/r/StableDiffusion/comments/1vig5fx/for_those_who_told_me_to_ditch_the_continuous_1/"> <img alt="For those who told me to ditch the continuous 1 minute take and make cuts instead" src="https://external-preview.redd.it/Mm4yZWF4enFjMW…