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imaginAIry/imaginairy/cmds.py

83 lines
2.0 KiB
Python

#!/usr/bin/env python
import click
from imaginairy.imagine import imagine as imagine_f
from imaginairy.schema import ImaginePrompt
@click.command()
@click.argument(
"prompt_texts", default=None, help="text to render to an image", nargs=-1
)
@click.option("--outdir", default="./outputs", help="where to write results to")
@click.option(
"-r", "--repeats", default=1, type=int, help="How many times to repeat the renders"
)
@click.option(
"-h",
"--height",
default=512,
type=int,
help="image height. should be multiple of 64",
)
@click.option(
"-w", "--width", default=512, type=int, help="image width. should be multiple of 64"
)
@click.option(
"--steps",
default=50,
type=int,
help="How many diffusion steps to run. More steps, more detail, but with diminishing returns",
)
@click.option(
"--seed",
default=None,
type=int,
help="What seed to use for randomness. Allows reproducible image renders",
)
@click.option(
"--prompt-strength",
default=7.5,
help="How closely to follow the prompt. Image looks unnatural at higher values",
)
@click.option("--sampler-type", default="PLMS", help="What sampling strategy to use")
@click.option("--ddim-eta", default=0.0, type=float)
def imagine_cmd(
prompt_texts,
outdir,
repeats,
height,
width,
steps,
seed,
prompt_strength,
sampler_type,
ddim_eta,
):
prompts = []
for _ in range(repeats):
for prompt_text in prompt_texts:
prompt = ImaginePrompt(
prompt_text,
seed=seed,
sampler_type=sampler_type,
steps=steps,
height=height,
width=width,
prompt_strength=prompt_strength,
upscale=True,
fix_faces=True,
)
prompts.append(prompt)
imagine_f(
prompts,
outdir=outdir,
ddim_eta=ddim_eta,
)
if __name__ == "__main__":
imagine_cmd()