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https://github.com/invoke-ai/InvokeAI
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Merge branch 'main' into refactor/model_manager_instantiate
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commit
65ed224bfc
@ -124,7 +124,7 @@ installation. Examples:
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invokeai-model-install --list controlnet
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# (install the model at the indicated URL)
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invokeai-model-install --add http://civitai.com/2860
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invokeai-model-install --add https://civitai.com/api/download/models/128713
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# (delete the named model)
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invokeai-model-install --delete sd-1/main/analog-diffusion
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@ -414,6 +414,7 @@ class InvokeAIAppConfig(InvokeAISettings):
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outdir : Path = Field(default='outputs', description='Default folder for output images', category='Paths')
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from_file : Path = Field(default=None, description='Take command input from the indicated file (command-line client only)', category='Paths')
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use_memory_db : bool = Field(default=False, description='Use in-memory database for storing image metadata', category='Paths')
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ignore_missing_core_models : bool = Field(default=False, description='Ignore missing models in models/core/convert')
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model : str = Field(default='stable-diffusion-1.5', description='Initial model name', category='Models')
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@ -12,6 +12,7 @@ def check_invokeai_root(config: InvokeAIAppConfig):
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assert config.model_conf_path.exists(), f"{config.model_conf_path} not found"
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assert config.db_path.parent.exists(), f"{config.db_path.parent} not found"
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assert config.models_path.exists(), f"{config.models_path} not found"
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if not config.ignore_missing_core_models:
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for model in [
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"CLIP-ViT-bigG-14-laion2B-39B-b160k",
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"bert-base-uncased",
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@ -32,5 +33,10 @@ def check_invokeai_root(config: InvokeAIAppConfig):
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print(
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'** From the command line, activate the virtual environment and run "invokeai-configure --yes --skip-sd-weights" **'
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)
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print(
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'** (To skip this check completely, add "--ignore_missing_core_models" to your CLI args. Not installing '
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"these core models will prevent the loading of some or all .safetensors and .ckpt files. However, you can "
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"always come back and install these core models in the future.)"
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)
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input("Press any key to continue...")
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sys.exit(0)
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@ -1,6 +1,8 @@
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from __future__ import annotations
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from contextlib import nullcontext
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from packaging import version
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import platform
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import torch
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from torch import autocast
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@ -30,7 +32,7 @@ def choose_precision(device: torch.device) -> str:
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device_name = torch.cuda.get_device_name(device)
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if not ("GeForce GTX 1660" in device_name or "GeForce GTX 1650" in device_name):
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return "float16"
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elif device.type == "mps":
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elif device.type == "mps" and version.parse(platform.mac_ver()[0]) < version.parse("14.0.0"):
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return "float16"
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return "float32"
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