Initial commit
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4 changed files with 55 additions and 0 deletions
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.gitignore
vendored
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2
.gitignore
vendored
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venv/
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*.png
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21
LICENSE
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LICENSE
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MIT License
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Copyright (c) 2024 Julian Müller (ChaoticByte)
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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3
requirements.txt
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requirements.txt
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diffusers
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transformers
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accelerate
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29
sdxl.py
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sdxl.py
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#!/usr/bin/env python3
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# Copyright (c) 2024 Julian Müller (ChaoticByte)
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from argparse import ArgumentParser
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from diffusers import AutoPipelineForText2Image
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if __name__ == "__main__":
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# parse cmdline args
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argp = ArgumentParser()
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argp.add_argument("-m", "--model", type=str, help="Path to the sdxl model folder", required=True)
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argp.add_argument("-p", "--prompt", type=str, help="Prompt for image inference")
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argp.add_argument("-n", "--steps", type=int, help="Number of inference steps", default=1)
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argp.add_argument("-o", "--output", type=str, help="Image output file", default="output.png")
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args = argp.parse_args()
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# create pipeline, process prompt(s), output file
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pipe = AutoPipelineForText2Image.from_pretrained(args.model, local_files_only=True)
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pipe.to("cpu")
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if args.prompt is None:
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try:
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while True:
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prompt = input("> ")
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pipe(prompt=prompt, num_inference_steps=args.steps, guidance_scale=0.0).images[0].save(args.output)
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except (EOFError, KeyboardInterrupt):
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print("bye.")
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exit(0)
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else:
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pipe(prompt=args.prompt, num_inference_steps=args.steps, guidance_scale=0.0).images[0].show(args.output)
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