Text-to-Image
Diffusers
Safetensors
StableDiffusionXLPipeline
stable-diffusion-xl
stable-diffusion-xl-diffusers
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("recoilme/ColorfulSSD-1B_v07", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Text-to-image finetuning - recoilme/ColorfulSSD-1B_v07
This pipeline was finetuned from ColorfulSSD-1B_v06 on the recoilme/colorful_s_1024 dataset. Below are some example images generated with the finetuned pipeline using the following prompt: beautiful woman and her elegant cat, hyper realistic, ambient lighting:
no negative
test grid
Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
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