Add ready marker, add README.md

README.md

@@ -0,0 +1,10 @@
+# edge-maxxing-newdream-sdxl
+
+This holds the baseline for the SDXL Nvidia GeForce RTX 4090 contest, which can be forked freely and optimized
+
+Some recommendations are as follows:
+- Installing dependencies should be done in pyproject.toml, including git dependencies
+- Compiled models should be included directly in the repository(rather than compiling during loading), loading time matters far more than file sizes
+- Avoid changing `src/main.py`, as that includes mostly protocol logic. Most changes should be in `models` and `src/pipeline.py`
+
+For testing, you need a docker container with pytorch and ubuntu 22.04, you can download your listed dependencies with `pip install -e .`, and then running `src/main.py`

src/main.py

@@ -19,6 +19,8 @@ def main():
  connection, _ = inference_socket.accept()
 
  with connection:
+ connection.send(b'\xFF') # Ready marker
+
  while True:
  size = int.from_bytes(connection.recv(2), byteorder)