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adapt_config.py +192 -0
created_prs.txt +237 -0
get_model_ids.py +10 -0
log.txt +0 -0
mass_config_adapt.sh +6 -0
model_ids.txt +1142 -0

adapt_config.py ADDED Viewed

	@@ -0,0 +1,192 @@

+import argparse
+import json
+import os
+import shutil
+from tempfile import TemporaryDirectory
+from typing import List, Optional
+from huggingface_hub import CommitInfo, CommitOperationAdd, Discussion, HfApi, hf_hub_download
+from huggingface_hub.file_download import repo_folder_name
+class AlreadyExists(Exception):
+    pass
+def is_index_stable_diffusion_like(config_dict):
+    if "_class_name" not in config_dict:
+        return False
+    compatible_classes = [
+        "AltDiffusionImg2ImgPipeline",
+        "AltDiffusionPipeline",
+        "CycleDiffusionPipeline",
+        "StableDiffusionImageVariationPipeline",
+        "StableDiffusionImg2ImgPipeline",
+        "StableDiffusionInpaintPipeline",
+        "StableDiffusionInpaintPipelineLegacy",
+        "StableDiffusionPipeline",
+        "StableDiffusionPipelineSafe",
+        "StableDiffusionUpscalePipeline",
+        "VersatileDiffusionDualGuidedPipeline",
+        "VersatileDiffusionImageVariationPipeline",
+        "VersatileDiffusionPipeline",
+        "VersatileDiffusionTextToImagePipeline",
+        "OnnxStableDiffusionImg2ImgPipeline",
+        "OnnxStableDiffusionInpaintPipeline",
+        "OnnxStableDiffusionInpaintPipelineLegacy",
+        "OnnxStableDiffusionPipeline",
+        "StableDiffusionOnnxPipeline",
+        "FlaxStableDiffusionPipeline",
+    ]
+    return config_dict["_class_name"] in compatible_classes
+def convert_single(model_id: str, folder: str) -> List["CommitOperationAdd"]:
+    config_file = "unet/config.json"
+    os.makedirs(os.path.join(folder, "unet"), exist_ok=True)
+    model_index_file = hf_hub_download(repo_id=model_id, filename="model_index.json")
+    with open(model_index_file, "r") as f:
+        index_dict = json.load(f)
+        if not is_index_stable_diffusion_like(index_dict):
+            print(f"{model_id} is not of type stable diffusion.")
+            return False, False
+    old_config_file = hf_hub_download(repo_id=model_id, filename=config_file)
+    new_config_file = os.path.join(folder, config_file)
+    success = convert_file(old_config_file, new_config_file)
+    if success:
+        operations = [CommitOperationAdd(path_in_repo=config_file, path_or_fileobj=new_config_file)]
+        model_type = success
+        return operations, model_type
+    else:
+        return False, False
+def convert_file(
+    old_config: str,
+    new_config: str,
+):
+    with open(old_config, "r") as f:
+        old_dict = json.load(f)
+    is_stable_diffusion = "down_block_types" in old_dict and list(old_dict["down_block_types"]) == ["CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "CrossAttnDownBlock2D", "DownBlock2D"]
+    is_stable_diffusion_1 = is_stable_diffusion and ("use_linear_projection" not in old_dict or old_dict["use_linear_projection"] is False)
+    is_stable_diffusion_2 = is_stable_diffusion and ("use_linear_projection" in old_dict and old_dict["use_linear_projection"] is True)
+    if not is_stable_diffusion_1 and not is_stable_diffusion_2:
+        print("No matching config")
+        return False
+    if is_stable_diffusion_1:
+        if old_dict["sample_size"] == 64:
+            print("Dict correct")
+            return False
+        print("Correct stable diffusion 1")
+        old_dict["sample_size"] = 64
+    if is_stable_diffusion_2:
+        if old_dict["sample_size"] == 96:
+            print("Dict correct")
+            return False
+        print("Correct stable diffusion 2")
+        old_dict["sample_size"] = 96
+    with open(new_config, 'w') as f:
+        json_str = json.dumps(old_dict, indent=2, sort_keys=True) + "\n"
+        f.write(json_str)
+    return "Stable Diffusion 1" if is_stable_diffusion_1 else "Stable Diffusion 2"
+def previous_pr(api: "HfApi", model_id: str, pr_title: str) -> Optional["Discussion"]:
+    try:
+        discussions = api.get_repo_discussions(repo_id=model_id)
+    except Exception:
+        return None
+    for discussion in discussions:
+        if discussion.status == "open" and discussion.is_pull_request and discussion.title == pr_title:
+            return discussion
+def convert(api: "HfApi", model_id: str, force: bool = False) -> Optional["CommitInfo"]:
+    pr_title = "Correct `sample_size` of {}'s unet to have correct width and height default"
+    info = api.model_info(model_id)
+    filenames = set(s.rfilename for s in info.siblings)
+    if "unet/config.json" not in filenames:
+        print(f"Model: {model_id} has no 'unet/config.json' file to change")
+        return
+    if "vae/config.json" not in filenames:
+        print(f"Model: {model_id} has no 'vae/config.json' file to change")
+        return
+    with TemporaryDirectory() as d:
+        folder = os.path.join(d, repo_folder_name(repo_id=model_id, repo_type="models"))
+        os.makedirs(folder)
+        new_pr = None
+        try:
+            operations = None
+            pr = previous_pr(api, model_id, pr_title)
+            if pr is not None and not force:
+                url = f"https://huggingface.co/{model_id}/discussions/{pr.num}"
+                new_pr = pr
+                raise AlreadyExists(f"Model {model_id} already has an open PR check out {url}")
+            else:
+                operations, model_type = convert_single(model_id, folder)
+            if operations:
+                pr_title = pr_title.format(model_type)
+                if model_type == "Stable Diffusion 1":
+                    sample_size = 64
+                    image_size = 512
+                elif model_type == "Stable Diffusion 2":
+                    sample_size = 96
+                    image_size = 768
+                pr_description = (
+                        f"Since `diffusers==0.9.0` the width and height is automatically inferred from the `sample_size` attribute of your unet's config. It seems like your diffusion model has the same architecture as {model_type} which means that when using this model, by default an image size of {image_size}x{image_size} should be generated. This in turn means the unet's sample size should be **{sample_size}**. \n\n In order to suppress to update your configuration on the fly and to suppress the deprecation warning added in this PR: https://github.com/huggingface/diffusers/pull/1406/files#r1035703505 it is strongly recommended to merge this PR."
+                )
+                new_pr = api.create_commit(
+                    repo_id=model_id,
+                    operations=operations,
+                    commit_message=pr_title,
+                    commit_description=pr_description,
+                    create_pr=True,
+                )
+                print(f"Pr created at {new_pr.pr_url}")
+            else:
+                print(f"No files to convert for {model_id}")
+        finally:
+            shutil.rmtree(folder)
+        return new_pr
+if __name__ == "__main__":
+    DESCRIPTION = """
+    Simple utility tool to convert automatically some weights on the hub to `safetensors` format.
+    It is PyTorch exclusive for now.
+    It works by downloading the weights (PT), converting them locally, and uploading them back
+    as a PR on the hub.
+    """
+    parser = argparse.ArgumentParser(description=DESCRIPTION)
+    parser.add_argument(
+        "model_id",
+        type=str,
+        help="The name of the model on the hub to convert. E.g. `gpt2` or `facebook/wav2vec2-base-960h`",
+    )
+    parser.add_argument(
+        "--force",
+        action="store_true",
+        help="Create the PR even if it already exists of if the model was already converted.",
+    )
+    args = parser.parse_args()
+    model_id = args.model_id
+    api = HfApi()
+    convert(api, model_id, force=args.force)

created_prs.txt ADDED Viewed

	@@ -0,0 +1,237 @@

+log.txt:Pr created at https://huggingface.co/hakurei/waifu-diffusion/discussions/64
+log.txt:Pr created at https://huggingface.co/naclbit/trinart_stable_diffusion_v2/discussions/11
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+log.txt:Pr created at https://huggingface.co/doohickey/doodad-v1-1/discussions/1
+log.txt:Pr created at https://huggingface.co/doohickey/doodad-v1-2/discussions/1
+log.txt:Pr created at https://huggingface.co/doohickey/doodad-v1-3/discussions/1
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+log.txt:Pr created at https://huggingface.co/AstraliteHeart/pony-diffusion/discussions/5
+log.txt:Pr created at https://huggingface.co/Nilaier/Waifu-Diffusers/discussions/16
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get_model_ids.py ADDED Viewed

	@@ -0,0 +1,10 @@

+#!/usr/bin/env python3
+from huggingface_hub import HfApi
+api = HfApi()
+out = api.list_models(filter="diffusers")
+model_ids = [x.modelId for x in out]
+with open("./model_ids.txt", "w") as f:
+    for _id in model_ids:
+        f.write(_id + "\n")

log.txt ADDED Viewed

The diff for this file is too large to render. See raw diff

mass_config_adapt.sh ADDED Viewed

	@@ -0,0 +1,6 @@

+#!/usr/bin/env bash
+while read p; do
+	echo "-------------------------------"
+	echo "Attempting to open PR for $p"
+	python adapt_config.py $p
+done <model_ids.txt

model_ids.txt ADDED Viewed

	@@ -0,0 +1,1142 @@

+google/ddpm-cifar10-32
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+google/ddpm-ema-cat-256
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