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Merge pull request #1803 from easydiffusion/beta

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Support legacy installations with torch 1.11, as well as an option for people to upgrade to the latest sdkit+diffusers
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cmdr2 2024-06-07 10:33:56 +05:30 committed by GitHub
commit d17b167a81
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1 changed files with 52 additions and 8 deletions
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60
scripts/check_modules.py
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@ -22,8 +22,8 @@ modules_to_check = {
"torch": ("1.11.0", "1.13.1", "2.0.0", "2.0.1"),
"torchvision": ("0.12.0", "0.14.1", "0.15.1", "0.15.2"),
"setuptools": "69.5.1",
"sdkit": "2.0.15.6",
"diffusers": "0.21.4",
# "sdkit": "2.0.15.6", # checked later
# "diffusers": "0.21.4", # checked later
"stable-diffusion-sdkit": "2.1.5",
"rich": "12.6.0",
"uvicorn": "0.19.0",
@ -34,7 +34,7 @@ modules_to_check = {
"python-multipart": "0.0.6",
# "xformers": "0.0.16",
}
modules_to_log = ["torch", "torchvision", "sdkit", "stable-diffusion-sdkit"]
modules_to_log = ["torch", "torchvision", "sdkit", "stable-diffusion-sdkit", "diffusers"]
def version(module_name: str) -> str:
@ -124,8 +124,42 @@ def update_modules():
f"WARNING! Tried to install {module_name}=={latest_version}, but the version is still {version(module_name)}!"
)
if module_name in modules_to_log:
print(f"{module_name}: {version(module_name)}")
# different sdkit versions, with the corresponding diffusers
# if sdkit is 2.0.15.x (or lower), then diffusers should be restricted to 0.21.4 (see below for the reason)
# otherwise use the current sdkit version (with the corresponding diffusers version)
expected_sdkit_version_str = "2.0.20.3"
expected_diffusers_version_str = "0.28.2"
legacy_sdkit_version_str = "2.0.15.6"
legacy_diffusers_version_str = "0.21.4"
sdkit_version_str = version("sdkit")
if sdkit_version_str is None: # first install
_install("sdkit", expected_sdkit_version_str)
_install("diffusers", expected_diffusers_version_str)
else:
sdkit_version = version_str_to_tuple(sdkit_version_str)
legacy_sdkit_version = version_str_to_tuple(legacy_sdkit_version_str)
torch_version = version_str_to_tuple(version("torch"))
if sdkit_version[:3] <= legacy_sdkit_version[:3]: # and torch_version < (0, 13):
# stick to diffusers 0.21.4, since it preserves torch 0.11+ compatibility.
# upgrading beyond this will result in a 2+ GB download of torch on older installations
# and a time-consuming chain of small package updates due to huggingface_hub upgrade.
# for now, the user will need to explicitly upgrade to a newer sdkit, to break this ceiling.
install_pkg_if_necessary("sdkit", legacy_sdkit_version_str)
install_pkg_if_necessary("diffusers", legacy_diffusers_version_str)
else:
if torch_version < (1, 13):
# install the gpu-compatible torch (if necessary), instead of the default CPU-only one
# from the diffusers dependency chain
install("torch", modules_to_check["torch"][-1])
install("torchvision", modules_to_check["torchvision"][-1])
install_pkg_if_necessary("sdkit", expected_sdkit_version_str)
install_pkg_if_necessary("diffusers", expected_diffusers_version_str)
# hotfix accelerate
accelerate_version = version("accelerate")
@ -169,6 +203,9 @@ def update_modules():
if curr_mod_version != mod_force_version:
_install(mod_name, mod_force_version_str)
for module_name in modules_to_log:
print(f"{module_name}: {version(module_name)}")
def _install(module_name, module_version=None):
if module_version is None:
@ -180,7 +217,14 @@ def _install(module_name, module_version=None):
os.system(install_cmd)
def install_pkg_if_necessary(pkg_name, required_version):
pkg_version = version(pkg_name)
if pkg_version != required_version:
_install(pkg_name, required_version)
def version_str_to_tuple(ver_str):
ver_str = ver_str.split("+")[0]
ver = ver_str.split(".")
return tuple(map(int, ver))
@ -369,9 +413,9 @@ def launch_uvicorn():
setup_amd_environment()
print("\nLaunching uvicorn\n")
os.system(
f'python -m uvicorn main:server_api --app-dir "{os.environ["SD_UI_PATH"]}" --port {listen_port} --host {bind_ip} --log-level error'
)
import uvicorn
uvicorn.run("main:server_api", port=listen_port, log_level="error", app_dir=os.environ["SD_UI_PATH"], host=bind_ip, access_log=False)
### Start