Update README.md
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@@ -35,6 +35,7 @@ Adds a few new nodes:
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* Hopefully the color input field works for most color string formats.
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### Random Lora & Model
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<<<<<<< HEAD
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* Uses regex pattern to filter down files within `models/checkpoints` and `models/loras` and then randomly choose one to load.
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* `every` parameter allows the chosen model to ran certain number of times.
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* `pause` parameter allows the chosen model to run indefinitely.
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@@ -43,3 +44,13 @@ Adds a few new nodes:
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* If a model has been used before in the same session, the node won't need to access the file from SSD/HDD again, it's already in the RAM.
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* `RESULT` outputs the working state of the node, use `Preview As Text` or `Show Text` node to understand time until next randomization, which model is being used currently, previously and how many times, or which ones hasn't been used yet from the found files.
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* If the regex pattern went wrong and there are no models found, a random model will be selected from all available under the respective `checkpoints` or `loras` folder.
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=======
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* Uses regex pattern to filter down files within `models/checkpoints`, `models/loras` directory and then randomly choose one to load.
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* `every=#` parameter allows the chosen model to run only `#` number of times until randomly selecting another.
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* `pause=True` allows the current running model to run indefinitely.
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* `skip=True` or any changes in `pattern` will trigger a random selection ASAP, `skip` doesn't stop loop counting, but changes in `pattern` will.
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* Models are pooled, which can lead to maxing out the RAM usage, Python seem to be able to handle this on its own without issue.
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* If a model has been used before in the same session, the node won't need to access the file from SSD/HDD again, it's already in the RAM.
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* `RESULT` outputs the working state of the node, use `Preview As Text` or `Show Text` node to understand time until next randomization, which model is being used currently, previously and how many times, or which ones hasn't been used yet from the found files.
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* If the regex pattern went wrong or if there are no models found, a random model will be selected from all available under the respective `checkpoints` or `loras` folder.
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>>>>>>> 0f38763 (Update README.md)
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