Code
from diffusers import DiffusionPipeline
from transformers import set_seed
from PIL import Image
import torch
import random
import ssl
import os
ssl._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 RAM
pipeline.enable_attention_slicing("max")
prompt = "Record player. White background. Robot Transformer record player. 3d. Linocut. Neon. Lasers. Awesomeness"
for s in range(30):
for n in [5,10]:
seed = s+21
num_steps = n+1
set_seed(seed)
image = pipeline(prompt,height = 1080,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))
Record player. White background. Robot Transformer record player. 3d. Linocut. Neon. Lasers. Awesomeness - dreamshaper-xl-turbo
Following in the same footsteps as other posts where I mangle some visuals for a track off an older album
Animation details
Feeding this prompt to dreamshaper-xl-turbo:
“Record player. White background. Robot Transformer record player. 3d. Linocut. Neon. Lasers. Awesomeness”
Then, do something with one or another of these.
Youtube Short
Some digitally noised up transformer djs.
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