fix: package will not try to install xformers on `aarch64` machines.

While this will allow the dockerfile to build on MacOS M1, [torch will not be able to use the M1 when generating images.](https://github.com/pytorch/pytorch/issues/81224#issuecomment-1499741152)

.dockerignore

@@ -18,4 +18,6 @@ coverage.xml
 .mypy_cache
 .pytest_cache
 .hypothesis
-.DS_Store
+.DS_Store
+other
+outputs

README.md

@@ -486,13 +486,15 @@ A: The AI models are cached in `~/.cache/` (or `HUGGINGFACE_HUB_CACHE`). To dele
 **13.0.0**
 - 🎉 feature: multi-controlnet support. pass in multiple `--control-mode`, `--control-image`, and `--control-image-raw` arguments.
 - 🎉 feature: "better" memory management. If GPU is full, least-recently-used model is moved to RAM.
-- alpha feature: `aimg run-api-server` command. Runs a http webserver (not finished). After running, visit http://127.0.0.1:8000/docs for api.
-- feature: add colorization controlnet. improve `aimg colorize` command
+- 🎉 feature: add colorization controlnet. improve `aimg colorize` command
+- 🧪 alpha feature: `aimg run-api-server` command. Runs a http webserver (not finished). After running, visit http://127.0.0.1:8000/docs for api.
 - feature: [disabled] inpainting controlnet can be used instead of finetuned inpainting model
   - The inpainting controlnet doesn't work as well as the finetuned model
 - feature: python interface allows configuration of controlnet strength
-- fix: hide the "triton" error messages
 - feature: show full stack trace on error in cli
+- fix: hide the "triton" error messages
+- fix: package will not try to install xformers on `aarch64` machines. While this will allow the dockerfile to build on 
+MacOS M1, [torch will not be able to use the M1 when generating images.](https://github.com/pytorch/pytorch/issues/81224#issuecomment-1499741152)
 
 **12.0.3**
 - fix: exclude broken versions of timm as dependencies

imaginairy/http/app.py

@@ -5,7 +5,7 @@ from typing import Optional
 from fastapi import FastAPI, Query
 from fastapi.concurrency import run_in_threadpool
 from fastapi.responses import StreamingResponse
-from pydantic import BaseModel
+from pydantic import BaseModel  # noqa
 
 from imaginairy import ImaginePrompt, imagine
 from imaginairy.log_utils import configure_logging

setup.py

@@ -21,7 +21,14 @@ else:
 
 @lru_cache()
 def get_git_revision_hash() -> str:
-    return subprocess.check_output(["git", "rev-parse", "HEAD"]).decode("ascii").strip()
+    try:
+        return (
+            subprocess.check_output(["git", "rev-parse", "HEAD"])
+            .decode("ascii")
+            .strip()
+        )
+    except FileNotFoundError:
+        return "no-git"
 
 
 revision_hash = get_git_revision_hash()
@@ -94,6 +101,6 @@ setup(
         "torchvision>=0.13.1",
         "kornia>=0.6",
         "uvicorn",
-        "xformers>=0.0.16; sys_platform!='darwin'",
+        "xformers>=0.0.16; sys_platform!='darwin' and platform_machine!='aarch64'",
     ],
 )