commit 46cd5a28d8cff9274eb272d9ffaf93f39d658b95
Author: Julian Müller (ChaoticByte) <contact@chaoticbyte.net>
Date:   Fri Jan 5 19:39:15 2024 +0100

    Initial commit

diff --git a/.gitignore b/.gitignore
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index 0000000..822838a
--- /dev/null
+++ b/.gitignore
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+venv/
+*.png
diff --git a/LICENSE b/LICENSE
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index 0000000..920dc4f
--- /dev/null
+++ b/LICENSE
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+MIT License
+
+Copyright (c) 2024 Julian Müller (ChaoticByte)
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/requirements.txt b/requirements.txt
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+++ b/requirements.txt
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+diffusers
+transformers
+accelerate
diff --git a/sdxl.py b/sdxl.py
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+++ b/sdxl.py
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+#!/usr/bin/env python3
+
+# Copyright (c) 2024 Julian Müller (ChaoticByte)
+
+from argparse import ArgumentParser
+
+from diffusers import AutoPipelineForText2Image
+
+if __name__ == "__main__":
+    # parse cmdline args
+    argp = ArgumentParser()
+    argp.add_argument("-m", "--model", type=str, help="Path to the sdxl model folder", required=True)
+    argp.add_argument("-p", "--prompt", type=str, help="Prompt for image inference")
+    argp.add_argument("-n", "--steps", type=int, help="Number of inference steps", default=1)
+    argp.add_argument("-o", "--output", type=str, help="Image output file", default="output.png")
+    args = argp.parse_args()
+    # create pipeline, process prompt(s), output file
+    pipe = AutoPipelineForText2Image.from_pretrained(args.model, local_files_only=True)
+    pipe.to("cpu")
+    if args.prompt is None:
+        try:
+            while True:
+                prompt = input("> ")
+                pipe(prompt=prompt, num_inference_steps=args.steps, guidance_scale=0.0).images[0].save(args.output)
+        except (EOFError, KeyboardInterrupt):
+            print("bye.")
+            exit(0)
+    else:
+        pipe(prompt=args.prompt, num_inference_steps=args.steps, guidance_scale=0.0).images[0].show(args.output)