forked from extern/easydiffusion
Tweak Memory Usage setting text; Fix a bug with the memory usage setting comparison
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7982a9ae25
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25639cc3f8
@ -97,8 +97,8 @@ var PARAMETERS = [
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id: "vram_usage_level",
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type: ParameterType.select,
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label: "GPU Memory Usage",
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note: "Faster performance requires more GPU memory<br/><br/>" +
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"<b>Balanced:</b> almost as fast as High, significantly lower GPU memory usage<br/>" +
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note: "Faster performance requires more GPU memory (VRAM)<br/><br/>" +
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"<b>Balanced:</b> nearly as fast as High, much lower VRAM usage<br/>" +
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"<b>High:</b> fastest, maximum GPU memory usage</br>" +
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"<b>Low:</b> slowest, force-used for GPUs with 4 GB (or less) memory",
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icon: "fa-forward",
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@ -125,19 +125,13 @@ def resolve_model_paths(task_data: TaskData):
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if task_data.use_upscale: task_data.use_upscale = resolve_model_to_use(task_data.use_upscale, 'gfpgan')
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def set_vram_optimizations(context: Context):
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def is_greater(a, b): # is a > b?
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if a == "low": # b will be "low", "balanced" or "high"
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return False
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elif a == "balanced" and b != "low": # b will be "balanced" or "high"
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return False
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return True
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config = app.getConfig()
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max_usage_level = device_manager.get_max_vram_usage_level(context.device)
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vram_usage_level = config.get('vram_usage_level', 'balanced')
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if is_greater(vram_usage_level, max_usage_level):
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v = {'low': 0, 'balanced': 1, 'high': 2}
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if v[vram_usage_level] > v[max_usage_level]:
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log.error(f'Requested GPU Memory Usage level ({vram_usage_level}) is higher than what is ' + \
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f'possible ({max_usage_level}) on this device ({context.device}). Using "{max_usage_level}" instead')
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vram_usage_level = max_usage_level
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