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from diffusers import FluxPipeline, AutoencoderKL | |
from diffusers.image_processor import VaeImageProcessor | |
from transformers import T5EncoderModel, T5TokenizerFast, CLIPTokenizer, CLIPTextModel | |
import torch | |
import gc | |
def flush(): | |
gc.collect() | |
torch.cuda.empty_cache() |
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""" | |
stable diffusion dreaming | |
creates hypnotic moving videos by smoothly walking randomly through the sample space | |
example way to run this script: | |
$ python stablediffusionwalk.py --prompt "blueberry spaghetti" --name blueberry | |
to stitch together the images, e.g.: | |
$ ffmpeg -r 10 -f image2 -s 512x512 -i blueberry/frame%06d.jpg -vcodec libx264 -crf 10 -pix_fmt yuv420p blueberry.mp4 |