Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("digiplay/OLDFish_2348_diffusers", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Model info:
https://civitai.com/models/14978?modelVersionId=40101
Original Author's DEMO images :
))),%20((((highly%20detailed)))),%5B%5B%5Brealistic%20art%5D%5D%5D,%20beautiful%20child%20girl,%20slender,small%20breasts,%20((((bangs)))),%20((.jpeg)
))),%20((((highly%20detailed)))),%5B%5B%5Brealistic%20art%5D%5D%5D,%20beautiful%20child%20girl,%20slender,small%20breasts,%20((((bangs)))),%20((.jpeg)
))),%20((((highly%20detailed)))),%5B%5B%5Brealistic%20art%5D%5D%5D,%20beautiful%20child%20girl,%20slender,small%20breasts,%20((((bangs)))),%20((.jpeg)
Sample image I made ,generated by huggingface's API :
prompt : flying dove ,nurse,pink suit,white background ,
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