Initial commit

sdxl.py

@@ -0,0 +1,29 @@
+#!/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)