from diffusers import DiffusionPipelinefrom transformers import set_seedfrom PIL import Imageimport torchimport randomimport sslimport osssl._create_default_https_context = ssl._create_unverified_context#locate library#model_id = "./stable-diffusion-v1-5"model_id ="dreamshaper-xl-turbo"pipeline = DiffusionPipeline.from_pretrained( pretrained_model_name_or_path ="../../../../bigFiles/huggingface/dreamshaper-xl-turbo/")pipeline = pipeline.to("mps")# Recommended if your computer has < 64 GB of RAMpipeline.enable_attention_slicing("max")prompt ="R2D2 robots setting a country on fire. R2D2 everwhere. City scape. cartoon. neon bright sunset. 80s. linocut."for s inrange(30):for n in [5,10]: seed = s+21 num_steps = n+1 set_seed(seed) image = pipeline(prompt,height =1920,width =1080,num_images_per_prompt =1,num_inference_steps=num_steps) image_name ="images/synth_{}_{}.jpeg" image_save = image.images[0].save(image_name.format(seed,num_steps))
R2D2 robots setting a country on fire. R2D2 everwhere. City scape. cartoon. neon bright sunset. 80s. linocut. - dreamshaper-xl-turbo
I’ve been having some fun making short animations with Adobe After effects for the tracks on Basement Tapes 1. I started with 7 second animations for the Spotify canvas format. These play in the background when a track is played on Spotify (on mobile I think?). Then more fun was had by lengthening them to 30 seconds for youtube shorts. See this playlist:
I figure I’ll keep making these for some of the tracks on the older albums.
VO: Country Fire
This morning I’m choosing Country Fire from VO. It’s a synthified country/blues song with heavy vocoder. There are periods of rambunctious bleep boops, which sound like a bunch of R2D2s on the prowl.
As a quick aside, I jumped into “Apple music for artists”, and took a quick look at their “promote” features, which produce little graphics like the one in the margin.
Animation details
Feeding this prompt to dreamshaper-xl-turbo:
“R2D2 robots setting a country on fire. R2D2 everwhere. City scape. cartoon. neon bright sunset. 80s. linocut.”
Then, the plan is to mangle these in Adobe after effects…let’s see what happens.
synth_21_11.jpeg
synth_21_6.jpeg
synth_22_11.jpeg
synth_22_6.jpeg
synth_23_11.jpeg
synth_23_6.jpeg
synth_24_11.jpeg
synth_24_6.jpeg
Youtube Short
Very noisy and pixely! I blended through the above images and used the audio to bounce some of the vfx. R2D2s wreching havoc everywhere.