sdv-SD2-1-example.ipynb

sdv-sd2-1-example.ipynb

Love this!
Question how would I make my video's longer?

Kind regards!!

Hey there, glad ya like it :)

There are a number of ways to make the video longer. Your video is generated with num_frames = num_interpolation_steps * (len(prompts) - 1) frames, and the video duration is num_frames / fps seconds long.

So...

• can add more prompts/seeds
• can increase num_interpolation steps
• can decrease FPS (this is really just making the video slower but longer in duration as its same number of frames

For example, the following would produce num_frames = 30 * 4 (120) frames at 30fps, so 4 seconds long with decent quality.

prompts=['a cat', 'a dog', 'a bird', 'a horse', 'a camel']
seeds = [0, 1, 2, 3, 4]  # Set to anything you want, or random numbers. must be same len as prompts
pipe.walk(prompts=prompts, seeds=seeds, num_interpolation_steps=30, num_inference_steps=50, fps=30)

Super clear information! I'm just not completely sure I understand the concept of the seeds. I need x amount of seeds for x amount of prompts in one pipe.walk, correct? But what are the random numbers? Kind regards!

…

On Tue, 21 Feb 2023 at 19:35, Nathan Raw ***@***.***> wrote: ***@***.**** commented on this gist. ------------------------------ Hey there, glad ya like it :) There are a number of ways to make the video longer. Your video is generated with num_frames = num_interpolation_steps * (len(prompts) - 1) frames, and the video duration is num_frames / fps seconds long. So... - can add more prompts/seeds - can increase num_interpolation steps - can decrease FPS (this is really just making the video slower but longer in duration as its same number of frames For example, the following would produce num_frames = 30 * 4 (120) frames at 30fps, so 4 seconds long with decent quality. prompts=['a cat', 'a dog', 'a bird', 'a horse', 'a camel']seeds = [0, 1, 2, 3, 4] # Set to anything you want, or random numbers. must be same len as promptspipe.walk(prompts=prompts, seeds=seeds, num_interpolation_steps=30, num_inference_steps=50, fps=30) — Reply to this email directly, view it on GitHub <https://gist.github.com/abaf9f6359ca90e3c95f2e1006011bd6#gistcomment-4478529> or unsubscribe <https://github.com/notifications/unsubscribe-auth/ABOARUOTE3YELLF3KFPNF2LWYUDGRBFKMF2HI4TJMJ2XIZLTSKBKK5TBNR2WLJDHNFZXJJDOMFWWLK3UNBZGKYLEL52HS4DFQKSXMYLMOVS2I5DSOVS2I3TBNVS3W5DIOJSWCZC7OBQXE5DJMNUXAYLOORPWCY3UNF3GS5DZVRZXKYTKMVRXIX3UPFYGLK2HNFZXIQ3PNVWWK3TUUZ2G64DJMNZZDAVEOR4XAZNEM5UXG5FFOZQWY5LFVEYTEMBZHAZTAMRSU52HE2LHM5SXFJTDOJSWC5DF> . You are receiving this email because you commented on the thread. Triage notifications on the go with GitHub Mobile for iOS <https://apps.apple.com/app/apple-store/id1477376905?ct=notification-email&mt=8&pt=524675> or Android <https://play.google.com/store/apps/details?id=com.github.android&referrer=utm_campaign%3Dnotification-email%26utm_medium%3Demail%26utm_source%3Dgithub> .

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