mirror of
https://github.com/invoke-ai/InvokeAI
synced 2024-08-30 20:32:17 +00:00
74 lines
2.6 KiB
Python
74 lines
2.6 KiB
Python
from .parse_seed_weights import parse_seed_weights
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import argparse
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SAMPLER_CHOICES = [
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"ddim",
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"k_dpm_2_a",
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"k_dpm_2",
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"k_dpmpp_2_a",
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"k_dpmpp_2",
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"k_euler_a",
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"k_euler",
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"k_heun",
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"k_lms",
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"plms",
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# diffusers:
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"pndm",
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]
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def parameters_to_command(params):
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"""
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Converts dict of parameters into a `invoke.py` REPL command.
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"""
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switches = list()
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if "prompt" in params:
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switches.append(f'"{params["prompt"]}"')
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if "steps" in params:
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switches.append(f'-s {params["steps"]}')
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if "seed" in params:
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switches.append(f'-S {params["seed"]}')
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if "width" in params:
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switches.append(f'-W {params["width"]}')
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if "height" in params:
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switches.append(f'-H {params["height"]}')
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if "cfg_scale" in params:
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switches.append(f'-C {params["cfg_scale"]}')
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if "sampler_name" in params:
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switches.append(f'-A {params["sampler_name"]}')
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if "seamless" in params and params["seamless"] == True:
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switches.append(f"--seamless")
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if "hires_fix" in params and params["hires_fix"] == True:
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switches.append(f"--hires")
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if "init_img" in params and len(params["init_img"]) > 0:
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switches.append(f'-I {params["init_img"]}')
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if "init_mask" in params and len(params["init_mask"]) > 0:
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switches.append(f'-M {params["init_mask"]}')
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if "init_color" in params and len(params["init_color"]) > 0:
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switches.append(f'--init_color {params["init_color"]}')
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if "strength" in params and "init_img" in params:
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switches.append(f'-f {params["strength"]}')
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if "fit" in params and params["fit"] == True:
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switches.append(f"--fit")
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if "facetool" in params:
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switches.append(f'-ft {params["facetool"]}')
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if "facetool_strength" in params and params["facetool_strength"]:
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switches.append(f'-G {params["facetool_strength"]}')
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elif "gfpgan_strength" in params and params["gfpgan_strength"]:
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switches.append(f'-G {params["gfpgan_strength"]}')
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if "codeformer_fidelity" in params:
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switches.append(f'-cf {params["codeformer_fidelity"]}')
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if "upscale" in params and params["upscale"]:
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switches.append(f'-U {params["upscale"][0]} {params["upscale"][1]}')
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if "variation_amount" in params and params["variation_amount"] > 0:
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switches.append(f'-v {params["variation_amount"]}')
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if "with_variations" in params:
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seed_weight_pairs = ",".join(
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f"{seed}:{weight}" for seed, weight in params["with_variations"]
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)
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switches.append(f"-V {seed_weight_pairs}")
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return " ".join(switches)
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