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https://github.com/invoke-ai/InvokeAI
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Model metadata includes the main model, VAE and refiner model. These used full model configs, as returned by the server, as their metadata type. LoRA and control adapter metadata only use the metadata identifier. This created a difference in handling. After parsing a model/vae/refiner, we have its name and can display it. But for LoRAs and control adapters, we only have the model key and must query for the full model config to get the name. This change makes main model/vae/refiner metadata only have the model key, like LoRAs and control adapters. The render function is now async so fetching can occur within it. All metadata fields with models now only contain the identifier, and fetch the model name to render their values. |
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| .. | ||
| app | ||
| assets | ||
| backend | ||
| configs | ||
| frontend | ||
| invocation_api | ||
| version | ||
| __init__.py | ||
| README | ||
Organization of the source tree: app -- Home of nodes invocations and services assets -- Images and other data files used by InvokeAI backend -- Non-user facing libraries, including the rendering core. configs -- Configuration files used at install and run times frontend -- User-facing scripts, including the CLI and the WebUI version -- Current InvokeAI version string, stored in version/invokeai_version.py