import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("simonbronson/Old-Portraits", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Old Portraits
Using a set of 25 mainly old large format photos from the 19th and early 20th century I wanted to capture the lighting, expression and film artifacts from this era. Subjects range in age, gender & ethnicity with poses generally looking at the camera with a neutral expression.
While only a couple of my source images had distressed frames, plenty of the generations contain them.
Download ckpt: https://huggingface.co/simonbronson/Old-Portraits/blob/main/Old_Portraits.ckpt
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