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Enable the ram cache slider in invokeai-configure (#4866)

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## What type of PR is this? (check all applicable)

- [ ] Refactor
- [ ] Feature
- [X] Bug Fix
- [ ] Optimization
- [ ] Documentation Update
- [ ] Community Node Submission


## Have you discussed this change with the InvokeAI team?
- [X] Yes
- [ ] No, because:

      
## Have you updated all relevant documentation?
- [ ] Yes
- [ ] No


## Description

The `invokeai-configure` TUI's slider for the RAM cache was not picking
up the current settings in `invokeai.yaml`, leading users to think their
change hadn't taken effect. This is fixed in this PR.


## Related Tickets & Documents

First described here:


https://discord.com/channels/1020123559063990373/1161919551441735711/1162058518417907743
This commit is contained in:
Millun Atluri 2023-10-13 16:08:03 +11:00 committed by GitHub
commit 3575cf3b3b
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2 changed files with 3 additions and 3 deletions
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4
invokeai/app/services/config/config_default.py
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@ -241,8 +241,8 @@ class InvokeAIAppConfig(InvokeAISettings):
version : bool = Field(default=False, description="Show InvokeAI version and exit", category="Other") version : bool = Field(default=False, description="Show InvokeAI version and exit", category="Other")
# CACHE # CACHE
ram : Union[float, Literal["auto"]] = Field(default=7.5, gt=0, description="Maximum memory amount used by model cache for rapid switching (floating point number or 'auto')", category="Model Cache", ) ram : float = Field(default=7.5, gt=0, description="Maximum memory amount used by model cache for rapid switching (floating point number, GB)", category="Model Cache", )
vram : Union[float, Literal["auto"]] = Field(default=0.25, ge=0, description="Amount of VRAM reserved for model storage (floating point number or 'auto')", category="Model Cache", ) vram : float = Field(default=0.25, ge=0, description="Amount of VRAM reserved for model storage (floating point number, GB)", category="Model Cache", )
lazy_offload : bool = Field(default=True, description="Keep models in VRAM until their space is needed", category="Model Cache", ) lazy_offload : bool = Field(default=True, description="Keep models in VRAM until their space is needed", category="Model Cache", )
# DEVICE # DEVICE

2
invokeai/backend/install/invokeai_configure.py
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@ -662,7 +662,7 @@ def default_ramcache() -> float:
def default_startup_options(init_file: Path) -> Namespace: def default_startup_options(init_file: Path) -> Namespace:
opts = InvokeAIAppConfig.get_config() opts = InvokeAIAppConfig.get_config()
opts.ram = default_ramcache() opts.ram = opts.ram or default_ramcache()
return opts return opts