2023-04-14 14:02:27 +02:00
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"""
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2023-04-18 12:12:33 +02:00
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This script checks and installs the required modules.
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2023-04-18 12:40:46 +02:00
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2023-04-19 12:41:16 +02:00
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This script runs inside the legacy "stable-diffusion" folder
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2023-04-18 12:40:46 +02:00
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TODO - Maybe replace the bulk of this script with a call to `pip install -f requirements.txt`, with
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a custom index URL depending on the platform.
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2023-04-14 14:02:27 +02:00
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"""
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2022-12-24 09:07:50 +01:00
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2023-04-18 12:12:33 +02:00
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import os
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from importlib.metadata import version as pkg_version
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import platform
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2023-04-19 12:50:08 +02:00
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import traceback
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2023-04-18 12:12:33 +02:00
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os_name = platform.system()
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modules_to_check = {
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2023-04-18 12:40:46 +02:00
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"torch": ("1.11.0", "1.13.1", "2.0.0"),
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"torchvision": ("0.12.0", "0.14.1", "0.15.1"),
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2023-07-15 07:25:09 +02:00
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"sdkit": "1.0.122",
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2023-04-18 12:12:33 +02:00
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"stable-diffusion-sdkit": "2.1.4",
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"rich": "12.6.0",
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"uvicorn": "0.19.0",
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"fastapi": "0.85.1",
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2023-05-28 00:50:23 +02:00
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"pycloudflared": "0.2.0",
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2023-06-26 13:31:01 +02:00
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"ruamel.yaml": "0.17.21",
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2023-04-20 13:37:10 +02:00
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# "xformers": "0.0.16",
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2023-04-18 12:12:33 +02:00
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}
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2023-06-07 13:08:15 +02:00
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modules_to_log = ["torch", "torchvision", "sdkit", "stable-diffusion-sdkit"]
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2023-04-18 12:12:33 +02:00
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def version(module_name: str) -> str:
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try:
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return pkg_version(module_name)
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except:
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return None
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def install(module_name: str, module_version: str):
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2023-04-20 13:18:38 +02:00
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if module_name == "xformers" and (os_name == "Darwin" or is_amd_on_linux()):
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2023-04-20 12:47:27 +02:00
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return
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2023-04-18 12:12:33 +02:00
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index_url = None
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if module_name in ("torch", "torchvision"):
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module_version, index_url = apply_torch_install_overrides(module_version)
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2023-04-21 15:38:51 +02:00
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if is_amd_on_linux(): # hack until AMD works properly on torch 2.0 (avoids black images on some cards)
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if module_name == "torch":
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module_version = "1.13.1+rocm5.2"
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elif module_name == "torchvision":
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module_version = "0.14.1+rocm5.2"
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2023-04-22 11:24:52 +02:00
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elif os_name == "Darwin":
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if module_name == "torch":
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module_version = "1.13.1"
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elif module_name == "torchvision":
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module_version = "0.14.1"
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2023-04-21 15:38:51 +02:00
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2023-04-18 12:12:33 +02:00
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install_cmd = f"python -m pip install --upgrade {module_name}=={module_version}"
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if index_url:
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install_cmd += f" --index-url {index_url}"
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2023-04-21 12:19:38 +02:00
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if module_name == "sdkit" and version("sdkit") is not None:
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2023-04-18 12:12:33 +02:00
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install_cmd += " -q"
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print(">", install_cmd)
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os.system(install_cmd)
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def init():
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for module_name, allowed_versions in modules_to_check.items():
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if os.path.exists(f"../src/{module_name}"):
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print(f"Skipping {module_name} update, since it's in developer/editable mode")
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continue
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allowed_versions, latest_version = get_allowed_versions(module_name, allowed_versions)
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2023-04-20 15:10:45 +02:00
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requires_install = False
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if module_name in ("torch", "torchvision"):
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if version(module_name) is None: # allow any torch version
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requires_install = True
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2023-04-22 11:24:52 +02:00
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elif os_name == "Darwin" and ( # force mac to downgrade from torch 2.0
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version("torch").startswith("2.") or version("torchvision").startswith("0.15.")
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):
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requires_install = True
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2023-04-20 15:10:45 +02:00
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elif version(module_name) not in allowed_versions:
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requires_install = True
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if requires_install:
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2023-04-18 12:12:33 +02:00
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try:
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install(module_name, latest_version)
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except:
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2023-04-19 12:50:08 +02:00
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traceback.print_exc()
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2023-04-18 12:12:33 +02:00
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fail(module_name)
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2023-06-07 13:08:15 +02:00
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if module_name in modules_to_log:
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print(f"{module_name}: {version(module_name)}")
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2023-04-18 12:12:33 +02:00
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### utilities
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2023-04-18 12:13:56 +02:00
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def get_allowed_versions(module_name: str, allowed_versions: tuple):
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2023-04-18 12:12:33 +02:00
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allowed_versions = (allowed_versions,) if isinstance(allowed_versions, str) else allowed_versions
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latest_version = allowed_versions[-1]
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if module_name in ("torch", "torchvision"):
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allowed_versions = include_cuda_versions(allowed_versions)
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return allowed_versions, latest_version
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def apply_torch_install_overrides(module_version: str):
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index_url = None
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if os_name == "Windows":
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module_version += "+cu117"
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index_url = "https://download.pytorch.org/whl/cu117"
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2023-04-20 13:18:38 +02:00
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elif is_amd_on_linux():
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2023-04-21 15:38:51 +02:00
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index_url = "https://download.pytorch.org/whl/rocm5.2"
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2023-04-18 12:12:33 +02:00
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return module_version, index_url
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def include_cuda_versions(module_versions: tuple) -> tuple:
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"Adds CUDA-specific versions to the list of allowed version numbers"
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allowed_versions = tuple(module_versions)
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allowed_versions += tuple(f"{v}+cu116" for v in module_versions)
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allowed_versions += tuple(f"{v}+cu117" for v in module_versions)
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2023-04-20 14:16:34 +02:00
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allowed_versions += tuple(f"{v}+rocm5.2" for v in module_versions)
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2023-04-18 14:06:52 +02:00
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allowed_versions += tuple(f"{v}+rocm5.4.2" for v in module_versions)
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2023-04-18 12:12:33 +02:00
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return allowed_versions
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2023-04-20 13:18:38 +02:00
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def is_amd_on_linux():
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if os_name == "Linux":
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2023-05-18 16:04:28 +02:00
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try:
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with open("/proc/bus/pci/devices", "r") as f:
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device_info = f.read()
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if "amdgpu" in device_info and "nvidia" not in device_info:
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return True
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except:
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return False
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2023-04-20 13:18:38 +02:00
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return False
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2023-04-18 12:12:33 +02:00
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def fail(module_name):
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print(
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f"""Error installing {module_name}. Sorry about that, please try to:
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1. Run this installer again.
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2023-06-14 11:57:06 +02:00
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2. If that doesn't fix it, please try the common troubleshooting steps at https://github.com/easydiffusion/easydiffusion/wiki/Troubleshooting
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2023-04-18 12:12:33 +02:00
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3. If those steps don't help, please copy *all* the error messages in this window, and ask the community at https://discord.com/invite/u9yhsFmEkB
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2023-06-14 11:57:06 +02:00
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4. If that doesn't solve the problem, please file an issue at https://github.com/easydiffusion/easydiffusion/issues
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2023-04-18 12:12:33 +02:00
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Thanks!"""
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)
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exit(1)
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### start
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init()
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