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https://github.com/invoke-ai/InvokeAI
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Simple script to generate a file of InvokeAI prompts and settings that scan across steps and other parameters. To use, create a file named "template.yaml" (or similar) formatted like this >>> cut here <<< steps: "30:50:1" seed: 50 cfg: - 7 - 8 - 12 sampler: - ddim - k_lms prompt: - a sunny meadow in the mountains - a gathering storm in the mountains >>> cut here <<< Create sections named "steps", "seed", "cfg", "sampler" and "prompt". - Each section can have a constant value such as this: steps: 50 - Or a range of numeric values in the format: steps: "<start>:<stop>:<step>" - Or a list of values in the format: - value1 - value2 - value3 Be careful to: 1) put quotation marks around numeric ranges; 2) put a space between the "-" and the value in a list of values; and 3) use spaces, not tabs, at the beginnings of indented lines. When you run this script, capture the output into a text file like this: python generate_param_scan.py template.yaml > output_prompts.txt "output_prompts.txt" will now contain an expansion of all the list values you provided. You can examine it in a text editor such as Notepad. Now start the CLI, and feed the expanded prompt file to it using the "!replay" command: !replay output_prompts.txt Alternatively, you can directly feed the output of this script by issuing a command like this from the developer's console: python generate_param_scan.py template.yaml | invokeai You can use the web interface to view the resulting images and their metadata.
100 lines
2.8 KiB
Python
Executable File
100 lines
2.8 KiB
Python
Executable File
#!/usr/bin/env python
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'''
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Simple script to generate a file of InvokeAI prompts and settings
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that scan across steps and other parameters.
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'''
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from omegaconf import OmegaConf, listconfig
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import re
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import sys
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INSTRUCTIONS='''
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To use, create a file named "template.yaml" (or similar) formatted like this
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>>> cut here <<<
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steps: "30:50:1"
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seed: 50
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cfg:
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- 7
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- 8
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- 12
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sampler:
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- ddim
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- k_lms
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prompt:
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- a sunny meadow in the mountains
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- a gathering storm in the mountains
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>>> cut here <<<
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Create sections named "steps", "seed", "cfg", "sampler" and "prompt".
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- Each section can have a constant value such as this:
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steps: 50
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- Or a range of numeric values in the format:
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steps: "<start>:<stop>:<step>"
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- Or a list of values in the format:
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- value1
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- value2
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- value3
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Be careful to: 1) put quotation marks around numeric ranges; 2) put a
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space between the "-" and the value in a list of values; and 3) use spaces,
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not tabs, at the beginnings of indented lines.
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When you run this script, capture the output into a text file like this:
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python generate_param_scan.py template.yaml > output_prompts.txt
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"output_prompts.txt" will now contain an expansion of all the list
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values you provided. You can examine it in a text editor such as
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Notepad.
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Now start the CLI, and feed the expanded prompt file to it using the
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"!replay" command:
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!replay output_prompts.txt
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Alternatively, you can directly feed the output of this script
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by issuing a command like this from the developer's console:
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python generate_param_scan.py template.yaml | invokeai
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You can use the web interface to view the resulting images and their
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metadata.
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'''
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def main():
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if len(sys.argv)<2:
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print(f'Usage: {__file__} template_file.yaml')
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print('Outputs a series of prompts expanded from the provided template.')
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print(INSTRUCTIONS)
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sys.exit(-1)
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conf_file = sys.argv[1]
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conf = OmegaConf.load(conf_file)
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steps = expand_values(conf.get('steps')) or [30]
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cfg = expand_values(conf.get('cfg')) or [7.5]
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sampler = expand_values(conf.get('sampler')) or ['ddim']
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prompt = expand_values(conf.get('prompt')) or ['banana sushi']
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seed = expand_values(conf.get('seed'))
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for seed in seed:
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for p in prompt:
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for s in sampler:
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for c in cfg:
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for step in steps:
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print(f'"{p}" -s{step} {f"-S{seed}" if seed else ""} -A{s} -C{c}')
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def expand_values(stanza: str|dict|listconfig.ListConfig)->list|range:
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if not stanza:
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return None
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if isinstance(stanza,listconfig.ListConfig):
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return stanza
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elif match := re.match('^(\d+):(\d+)(:(\d+))?',str(stanza)):
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return range(int(match.group(1)), int(match.group(2)), int(match.group(4)) or 1)
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else:
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return [stanza]
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if __name__ == '__main__':
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main()
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