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Streamline loading Stable Diffusion model checkpoints from various sources for AI artists, ensuring correct model version access.
The SDPathLoader
node is designed to streamline the process of loading Stable Diffusion model checkpoints from various sources, such as HuggingFace or ModelScope. This node is particularly useful for AI artists who need to quickly and efficiently access specific model versions for their creative projects. By specifying the repository ID and filename, you can ensure that the correct model is downloaded and loaded into your workspace. The node also offers flexibility in choosing the source of the model, allowing you to prioritize between different repositories. This functionality is essential for maintaining a smooth workflow, especially when working with large models that require precise version control.
The repo_id
parameter specifies the repository from which the Stable Diffusion model should be downloaded. This is a string value that typically follows the format username/repository_name
. The default value is philz1337x/flat2DAnimerge_v45Sharp
. This parameter is crucial for identifying the exact source of the model, ensuring that you are working with the correct version.
The filename
parameter indicates the specific file name of the model checkpoint within the repository. This is also a string value, with the default being flat2DAnimerge_v45Sharp.safetensors
. This parameter ensures that the correct file is downloaded and loaded, which is essential for the model to function as expected.
The downloading_priority
parameter allows you to choose the source from which the model should be downloaded. The available options are ModelScope
and HuggingFace
, with the default set to HuggingFace
. This parameter provides flexibility in selecting the most reliable or fastest source for downloading the model, which can be particularly useful in environments with varying network conditions.
The ckpt_name
parameter is an optional input that allows you to specify a custom name for the checkpoint file. This can be selected from a list of available checkpoint filenames in the checkpoints
directory. This parameter is useful for organizing and managing multiple model versions, making it easier to switch between different checkpoints as needed.
The SD_MODEL_PATH
output parameter provides the full path to the loaded Stable Diffusion model checkpoint. This path is essential for subsequent nodes or processes that require access to the model file. By providing the exact location of the model, this output ensures that your workflow can seamlessly continue without interruptions.
repo_id
and filename
parameters are correctly specified to avoid downloading incorrect or outdated models.downloading_priority
parameter to select the most reliable source for your network conditions, which can help in reducing download times.ckpt_name
parameter to keep your checkpoints organized and easily accessible.filename
does not exist in the checkpoints
directory.filename
is correct and exists in the specified directory. If not, ensure that the model is correctly downloaded from the specified repository.repo_id
/filename
.repo_id
and filename
are correct. Retry the download or switch to ModelScope
if the issue persists.repo_id
and filename
are correct and that your network connection is stable. Retry the download or switch to HuggingFace
if necessary.© Copyright 2024 RunComfy. All Rights Reserved.