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rebrand CLI from "dream" to "invoke"
- rename dream.py to invoke.py - create a compatibility script named dream.py that execs() invoke.py - redo documentation - change help message in args - this does **not** rename the libraries, which are still ldm.dream.util, etc
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@@ -89,16 +89,16 @@ This will create InvokeAI folder where you will follow the rest of the steps.
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```
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# for the pre-release weights use the -l or --liaon400m switch
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(ldm) ~/InvokeAI$ python3 scripts/dream.py -l
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(ldm) ~/InvokeAI$ python3 scripts/invoke.py -l
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# for the post-release weights do not use the switch
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(ldm) ~/InvokeAI$ python3 scripts/dream.py
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(ldm) ~/InvokeAI$ python3 scripts/invoke.py
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# for additional configuration switches and arguments, use -h or --help
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(ldm) ~/InvokeAI$ python3 scripts/dream.py -h
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(ldm) ~/InvokeAI$ python3 scripts/invoke.py -h
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```
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9. Subsequently, to relaunch the script, be sure to run "conda activate ldm" (step 5, second command), enter the `InvokeAI` directory, and then launch the dream script (step 8). If you forget to activate the ldm environment, the script will fail with multiple `ModuleNotFound` errors.
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9. Subsequently, to relaunch the script, be sure to run "conda activate ldm" (step 5, second command), enter the `InvokeAI` directory, and then launch the invoke script (step 8). If you forget to activate the ldm environment, the script will fail with multiple `ModuleNotFound` errors.
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## Updating to newer versions of the script
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