Text-to-Image
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StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("wavymulder/timeless-diffusion", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Timeless Diffusion
CKPT DOWNLOAD LINK - This is a dreambooth model trained on a diverse set of colourized photographs from the 1880s-1980s.
Use the activation token timeless style in your prompt (I recommend at the start)
The goal of this model was to create striking images with rich tones and an anachronistic feel.
When using this model, I typically use painted illustration blur haze monochrome in my negative prompt. I encourage you to experiment and see what works well for you.
Trained from 1.5 with VAE.
We support a Gradio Web UI to run Timeless Diffusion:
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