add utilities for updating diffusers pipeline metadata.

.github/workflows/update_metadata.yml

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+name: Update Diffusers metadata
+
+on:
+  workflow_dispatch:
+  push:
+    branches:
+      - main
+      - update_diffusers_metadata*
+
+jobs:
+  update_metadata:
+    runs-on: ubuntu-22.04
+    defaults:
+      run:
+        shell: bash -l {0}
+
+    steps:
+      - uses: actions/checkout@v3
+
+      - name: Setup environment
+        run: |
+          pip install --upgrade pip
+          pip install datasets pandas
+          pip install .[torch]
+
+      - name: Update metadata
+        env:
+          HUGGING_FACE_HUB_TOKEN: ${{ secrets.DIFFUSERS_BOT_TOKEN }}
+        run: |
+          python utils/update_metadata.py --commit_sha ${{ github.sha }}

utils/update_metadata.py

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+# coding=utf-8
+# Copyright 2024 The HuggingFace Inc. team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""
+Utility that updates the metadata of the Diffusers library in the repository `huggingface/diffusers-metadata`.
+
+Usage for an update (as used by the GitHub action `update_metadata`):
+
+```bash
+python utils/update_metadata.py
+```
+
+Script modified from:
+https://github.com/huggingface/transformers/blob/main/utils/update_metadata.py
+"""
+import argparse
+import os
+import tempfile
+
+import pandas as pd
+from datasets import Dataset
+from huggingface_hub import upload_folder
+
+from diffusers.pipelines.auto_pipeline import (
+    AUTO_IMAGE2IMAGE_PIPELINES_MAPPING,
+    AUTO_INPAINT_PIPELINES_MAPPING,
+    AUTO_TEXT2IMAGE_PIPELINES_MAPPING,
+)
+
+
+def get_supported_pipeline_table() -> dict:
+    """
+    Generates a dictionary containing the supported auto classes for each pipeline type,
+    using the content of the auto modules.
+    """
+    # All supported pipelines for automatic mapping.
+    all_supported_pipeline_classes = [
+        (class_name.__name__, "text-to-image", "AutoPipelineForText2Image")
+        for _, class_name in AUTO_TEXT2IMAGE_PIPELINES_MAPPING.items()
+    ]
+    all_supported_pipeline_classes += [
+        (class_name.__name__, "image-to-image", "AutoPipelineForImage2Image")
+        for _, class_name in AUTO_IMAGE2IMAGE_PIPELINES_MAPPING.items()
+    ]
+    all_supported_pipeline_classes += [
+        (class_name.__name__, "image-to-image", "AutoPipelineForInpainting")
+        for _, class_name in AUTO_INPAINT_PIPELINES_MAPPING.items()
+    ]
+    all_supported_pipeline_classes.sort(key=lambda x: x[0])
+    all_supported_pipeline_classes = list(set(all_supported_pipeline_classes))
+
+    data = {}
+    data["pipeline_class"] = [sample[0] for sample in all_supported_pipeline_classes]
+    data["pipeline_tag"] = [sample[1] for sample in all_supported_pipeline_classes]
+    data["auto_class"] = [sample[2] for sample in all_supported_pipeline_classes]
+
+    return data
+
+
+def update_metadata(commit_sha: str):
+    """
+    Update the metadata for the Diffusers repo in `huggingface/diffusers-metadata`.
+
+    Args:
+        commit_sha (`str`): The commit SHA on Diffusers corresponding to this update.
+    """
+    pipelines_table = get_supported_pipeline_table()
+    pipelines_table = pd.DataFrame(pipelines_table)
+    pipelines_dataset = Dataset.from_pandas(pipelines_table)
+
+    with tempfile.TemporaryDirectory() as tmp_dir:
+        pipelines_dataset.to_json(os.path.join(tmp_dir, "pipeline_tags.json"))
+
+        if commit_sha is not None:
+            commit_message = (
+                f"Update with commit {commit_sha}\n\nSee: "
+                f"https://github.com/huggingface/diffusers/commit/{commit_sha}"
+            )
+        else:
+            commit_message = "Update"
+
+        upload_folder(
+            repo_id="huggingface/diffusers-metadata",
+            folder_path=tmp_dir,
+            repo_type="dataset",
+            commit_message=commit_message,
+        )
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--commit_sha", default=None, type=str, help="The sha of the commit going with this update.")
+    args = parser.parse_args()
+
+    update_metadata(args.commit_sha)