AnimateDiff - GIF Animation for A1111 and Google Colab

preview_player
Показать описание
AnimateDiff makes creating Gif Animations in A1111 and Google Colab super easy.

#### Links from the Video ####
Рекомендации по теме
Комментарии
Автор

The quality of animated diff is fantastic, sharp and the characters can move more clearly than just using spatial dimensions like in Deforum to make it move, but I wish it could be longer.

technoprincess
Автор

Here's an idea: Use lower frame per second with 24 frames max, then use RIFE to create in-between animation
I think we could expand it to a smooth 24 seconds of animation even with current limitations

nietzchan
Автор

I had trouble running it. When I have it set to the mm_sd_v15.ckpt model, it will only create one image like it's a normal txt2img generation, but when it's set to mm_sd_v14.ckpt, nothing generates, I get an error message in my cmd window, and my A1111 no longer works right unless I restart it. I'm going to go post my issue over to guoyww.

Artishtic
Автор

Another upscaled quality content, Oli! Really love your vid tutorials. Thanks a million!

jacque
Автор

Heyo Olivio, I just want to take the time to thank you for everything you do. Keep it up my friend!

jcdeton
Автор

I am getting this error: CUDA backend failed to initialize: Found cuDNN version 8700, but JAX was built against version 8904, which is newer. The copy of cuDNN that is installed must be at least as new as the version against which JAX was built. (Set TF_CPP_MIN_LOG_LEVEL=0 and rerun for more info.)

Agyani.Rupesh
Автор

I'm using sd webui, and it is not showing the tabor below the adetailer.

Anonymouse
Автор

"12GB VRAM"...i really wish they focused more on efficiency.

dragonmares
Автор

it seems the extension stopped working in a1111 v1.6 or so. i regret the update. tons of errors, had to mess around a lot and now it works randomly and creates total random pics they dont even look similar. somewhat annying. anyone else have this experience? it just creates 16 random pics, "a cat" and i feed a seed too. dont work as expected at all. the docu is also weird.

Raketenclub
Автор

It doesnt show up after installation, how to fix this without reinstalling entire automatic1111

yves_jotres
Автор

I'm getting 2 different scenes every time in 1 gif.
Prompt 'A cute dog running'. Number of frames 24. Then I get 12 frames of 1 dog running and rest 12 frames of a different dog running. Both these scenes are stitched together in a single gif file as output. What's happening?

amey_
Автор

He wears the best shirts on the internet. His vids are pretty good too :D

jessejrlim
Автор

I have really mixed results, sometimes it splits the sequence in two different GIFS, sometimes nothing is happening except some light flickering here and there...

Shingo_AI_Art
Автор

this is way too confusing and i gave up after 2 minutes lol

patchandy
Автор

thank you for excellent and simple tutorial!

notmyfall
Автор

M I the only one who can't find the extension anywhere after installation, I tried to reinstall several times, restarting automatic1111 from cmd, I also deleted the venv folder and I already know the expansion is situated near ControllNet. Do you have any idea why this is happening?

mariorancheroni
Автор

If you can't find it in the A1111 search, make sure to UNcheck "Hide Extensions with tags -> Script" and it will appear ;)

DreadPop
Автор

I'm pretty sure pressing Apply and Restart now does the equivalent of closing the cmd window, as before just restarting the UI portion was causing lots of issues.

jibcot
Автор

Noise controls how different the pictures get in img2img . More Noise = More different. So i assume the noise multiplier (Next to SD VAE) needs to be lower for clean animation. I'll check once back home. Thank you for the amazing video!

teahousereloaded
Автор

i get this error:

RuntimeError: CUDA error: invalid configuration argument CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions.

how can bypass? anyone? :(

ponzexxx