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README.md

@@ -1,12 +1,13 @@
 ---
-title: Webui Test2
-emoji: 🏢
-colorFrom: gray
-colorTo: red
+title: SuperMerger test
+emoji: 🐶
+colorFrom: yellow
+colorTo: blue
 sdk: gradio
-sdk_version: 5.1.0
+sdk_version: 4.41.0
 app_file: app.py
 pinned: false
+license: mit
 ---
 
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

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+import os
+if os.environ.get("SPACES_ZERO_GPU") is not None:
+    import spaces
+else:
+    class spaces:
+        @staticmethod
+        def GPU(func):
+            def wrapper(*args, **kwargs):
+                return func(*args, **kwargs)
+            return wrapper
+import subprocess
+import gc
+import sys
+from pathlib import Path
+from utils import set_token, get_download_file
+
+@spaces.GPU
+def fake_gpu():
+  pass
+
+HF_TOKEN = os.environ.get("HF_TOKEN")
+CIVITAI_API_KEY = os.environ.get("CIVITAI_API_KEY")
+set_token(HF_TOKEN)
+BASE_DIR = str(Path(__file__).resolve().parent.resolve())
+WEBUI_DIR = str(Path(BASE_DIR, "stable-diffusion-webui").resolve())
+#os.environ["PYTHONPATH"] = os.environ.get("PYTHONPATH") + f":{WEBUI_DIR}:."
+
+def get_file(url: str, path: str):
+    print(f"Downloading {url} to {path}...")
+    get_download_file(path, url, CIVITAI_API_KEY)
+
+def git_clone(url: str, path: str, pip: bool=False, addcmd: str=""):
+    os.makedirs(str(Path(BASE_DIR, path)), exist_ok=True)
+    os.chdir(Path(BASE_DIR, path))
+    print(f"Cloning {url} to {path}...")
+    cmd = f'git clone {url}'
+    print(f'Running {cmd} at {Path.cwd()}')
+    i = subprocess.run(cmd, shell=True).returncode
+    if i != 0: print(f'Error occured at running {cmd}')
+    p = url.split("/")[-1]
+    if not Path(p).exists: return
+    if pip:
+        os.chdir(Path(BASE_DIR, path, p))
+        cmd = f'pip install -r requirements.txt'
+        print(f'Running {cmd} at {Path.cwd()}')
+        i = subprocess.run(cmd, shell=True).returncode
+        if i != 0: print(f'Error occured at running {cmd}')
+    if addcmd:
+        os.chdir(Path(BASE_DIR, path, p))
+        cmd = addcmd
+        print(f'Running {cmd} at {Path.cwd()}')
+        i = subprocess.run(cmd, shell=True).returncode
+        if i != 0: print(f'Error occured at running {cmd}')
+
+def run(cmd: str):
+    print(f'Running {cmd} at {Path.cwd()}')
+    i = subprocess.run(cmd, shell=True).returncode
+    if i != 0: print(f'Error occured at running {cmd}')
+
+git_clone("https://github.com/AUTOMATIC1111/stable-diffusion-webui.git", BASE_DIR)
+
+os.chdir(WEBUI_DIR)
+#sys.path.insert(0, WEBUI_DIR)
+#run(f"python3 launch.py --precision full --no-half --no-half-vae --enable-insecure-extension-access --medvram --always-cpu --skip-torch-cuda-test --disable-gpu-warning --enable-console-prompts")
+run(f"python3 launch.py --precision full --no-half --no-half-vae --enable-insecure-extension-access --medvram --skip-torch-cuda-test --enable-console-prompts")
+

packages.txt

@@ -0,0 +1 @@
+git-lfs aria2

pre-requirements.txt

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+pip>=23.0.0

requirements.txt

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+huggingface-hub
+gdown
+diffusers
+scikit-learn
+setuptools==69.5.1  # temp fix for compatibility with some old packages
+GitPython==3.1.32
+Pillow==9.5.0
+accelerate
+blendmodes==2022
+clean-fid==0.1.35
+diskcache==5.6.3
+einops==0.4.1
+facexlib==0.3.0
+fastapi
+httpcore==0.15
+inflection==0.5.1
+jsonmerge==1.8.0
+kornia==0.6.7
+lark==1.1.2
+numpy==1.26.2
+omegaconf==2.2.3
+open-clip-torch==2.20.0
+piexif==1.1.3
+protobuf==3.20.0
+psutil==5.9.5
+pytorch_lightning==1.9.4
+resize-right==0.0.2
+safetensors==0.4.2
+scikit-image==0.21.0
+spandrel==0.3.4
+spandrel-extra-arches==0.1.1
+tomesd==0.1.3
+torch
+torchdiffeq==0.2.3
+torchsde==0.2.6
+transformers==4.44.0
+httpx==0.24.1
+pillow-avif-plugin==1.4.3
+diffusers>=0.29.2
+gradio_rangeslider==0.0.6
+gradio_imageslider==0.0.20
+loadimg==0.1.2
+tqdm==4.66.1
+peft
+pydantic==2.8.2
+huggingface-hub

utils.py

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+import gradio as gr
+from huggingface_hub import HfApi, HfFolder, hf_hub_download, snapshot_download
+import os
+from pathlib import Path
+import shutil
+import gc
+import re
+import urllib.parse
+
+
+def get_token():
+    try:
+        token = HfFolder.get_token()
+    except Exception:
+        token = ""
+    return token
+
+
+def set_token(token):
+    try:
+        HfFolder.save_token(token)
+    except Exception:
+        print(f"Error: Failed to save token.")
+
+
+def get_user_agent():
+    return 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:127.0) Gecko/20100101 Firefox/127.0'
+
+
+def is_repo_exists(repo_id: str, repo_type: str="model"):
+    hf_token = get_token()
+    api = HfApi(token=hf_token)
+    try:
+        if api.repo_exists(repo_id=repo_id, repo_type=repo_type, token=hf_token): return True
+        else: return False
+    except Exception as e:
+        print(f"Error: Failed to connect {repo_id} ({repo_type}). {e}")
+        return True # for safe
+
+
+MODEL_TYPE_CLASS = {
+    "diffusers:StableDiffusionPipeline": "SD 1.5",
+    "diffusers:StableDiffusionXLPipeline": "SDXL",
+    "diffusers:FluxPipeline": "FLUX",
+}
+
+
+def get_model_type(repo_id: str):
+    hf_token = get_token()
+    api = HfApi(token=hf_token)
+    lora_filename = "pytorch_lora_weights.safetensors"
+    diffusers_filename = "model_index.json"
+    default = "SDXL"
+    try:
+        if api.file_exists(repo_id=repo_id, filename=lora_filename, token=hf_token): return "LoRA"
+        if not api.file_exists(repo_id=repo_id, filename=diffusers_filename, token=hf_token): return "None"
+        model = api.model_info(repo_id=repo_id, token=hf_token)
+        tags = model.tags
+        for tag in tags:
+            if tag in MODEL_TYPE_CLASS.keys(): return MODEL_TYPE_CLASS.get(tag, default)
+    except Exception:
+        return default
+    return default
+
+
+def list_uniq(l):
+    return sorted(set(l), key=l.index)
+
+
+def list_sub(a, b):
+    return [e for e in a if e not in b]
+
+
+def is_repo_name(s):
+    return re.fullmatch(r'^[\w_\-\.]+/[\w_\-\.]+$', s)
+
+
+def get_hf_url(repo_id: str, repo_type: str="model"):
+    if repo_type == "dataset": url = f"https://huggingface.co/datasets/{repo_id}"
+    elif repo_type == "space": url = f"https://huggingface.co/spaces/{repo_id}"
+    else: url = f"https://huggingface.co/{repo_id}"
+    return url
+
+
+def split_hf_url(url: str):
+    try:
+        s = list(re.findall(r'^(?:https?://huggingface.co/)(?:(datasets|spaces)/)?(.+?/.+?)/\w+?/.+?/(?:(.+)/)?(.+?.\w+)(?:\?download=true)?$', url)[0])
+        if len(s) < 4: return "", "", "", ""
+        repo_id = s[1]
+        if s[0] == "datasets": repo_type = "dataset"
+        elif s[0] == "spaces": repo_type = "space"
+        else: repo_type = "model"
+        subfolder = urllib.parse.unquote(s[2]) if s[2] else None
+        filename = urllib.parse.unquote(s[3])
+        return repo_id, filename, subfolder, repo_type
+    except Exception as e:
+        print(e)
+
+
+def download_hf_file(directory, url, progress=gr.Progress(track_tqdm=True)):
+    hf_token = get_token()
+    repo_id, filename, subfolder, repo_type = split_hf_url(url)
+    try:
+        print(f"Downloading {url} to {directory}")
+        if subfolder is not None: path = hf_hub_download(repo_id=repo_id, filename=filename, subfolder=subfolder, repo_type=repo_type, local_dir=directory, token=hf_token)
+        else: path = hf_hub_download(repo_id=repo_id, filename=filename, repo_type=repo_type, local_dir=directory, token=hf_token)
+        return path
+    except Exception as e:
+        print(f"Failed to download: {e}")
+        return None
+
+
+def download_thing(directory, url, civitai_api_key="", progress=gr.Progress(track_tqdm=True)): # requires aria2, gdown
+    url = url.strip()
+    if "drive.google.com" in url:
+        original_dir = os.getcwd()
+        os.chdir(directory)
+        os.system(f"gdown --fuzzy {url}")
+        os.chdir(original_dir)
+    elif "huggingface.co" in url:
+        url = url.replace("?download=true", "")
+        if "/blob/" in url: url = url.replace("/blob/", "/resolve/")
+        download_hf_file(directory, url)
+    elif "civitai.com" in url:
+        if "?" in url:
+            url = url.split("?")[0]
+        if civitai_api_key:
+            url = url + f"?token={civitai_api_key}"
+            os.system(f"aria2c --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 -d {directory} {url}")
+        else:
+            print("You need an API key to download Civitai models.")
+    else:
+        os.system(f"aria2c --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 -d {directory} {url}")
+
+
+def get_local_file_list(dir_path):
+    file_list = []
+    for file in Path(dir_path).glob("**/*.*"):
+        if file.is_file():
+            file_path = str(file)
+            file_list.append(file_path)
+    return file_list
+
+
+def get_download_file(temp_dir, url, civitai_key, progress=gr.Progress(track_tqdm=True)):
+    if not "http" in url and is_repo_name(url) and not Path(url).exists():
+        print(f"Use HF Repo: {url}")
+        new_file = url
+    elif not "http" in url and Path(url).exists():
+        print(f"Use local file: {url}")
+        new_file = url
+    elif Path(f"{temp_dir}/{url.split('/')[-1]}").exists():
+        print(f"File to download alreday exists: {url}")
+        new_file = f"{temp_dir}/{url.split('/')[-1]}"
+    else:
+        print(f"Start downloading: {url}")
+        before = get_local_file_list(temp_dir)
+        try:
+            download_thing(temp_dir, url.strip(), civitai_key)
+        except Exception:
+            print(f"Download failed: {url}")
+            return ""
+        after = get_local_file_list(temp_dir)
+        new_file = list_sub(after, before)[0] if list_sub(after, before) else ""
+    if not new_file:
+        print(f"Download failed: {url}")
+        return ""
+    print(f"Download completed: {url}")
+    return new_file
+
+
+def download_repo(repo_id: str, dir_path: str, progress=gr.Progress(track_tqdm=True)): # for diffusers repo
+    hf_token = get_token()
+    try:
+        snapshot_download(repo_id=repo_id, local_dir=dir_path, token=hf_token, allow_patterns=["*.safetensors", "*.bin"],
+                          ignore_patterns=["*.fp16.*", "/*.safetensors", "/*.bin"], force_download=True)
+        return True
+    except Exception as e:
+        print(f"Error: Failed to download {repo_id}. {e}")
+        gr.Warning(f"Error: Failed to download {repo_id}. {e}")
+        return False
+
+
+def upload_repo(repo_id: str, dir_path: str, is_private: bool, progress=gr.Progress(track_tqdm=True)): # for diffusers repo
+    hf_token = get_token()
+    api = HfApi(token=hf_token)
+    try:
+        progress(0, desc="Start uploading...")
+        api.create_repo(repo_id=repo_id, token=hf_token, private=is_private, exist_ok=True)
+        for path in Path(dir_path).glob("*"):
+            if path.is_dir():
+                api.upload_folder(repo_id=repo_id, folder_path=str(path), path_in_repo=path.name, token=hf_token)
+            elif path.is_file():
+                api.upload_file(repo_id=repo_id, path_or_fileobj=str(path), path_in_repo=path.name, token=hf_token)
+        progress(1, desc="Uploaded.")
+        return get_hf_url(repo_id, "model")
+    except Exception as e:
+        print(f"Error: Failed to upload to {repo_id}. {e}")
+        return ""
+
+
+HF_SUBFOLDER_NAME = ["None", "user_repo"]
+
+
+def duplicate_hf_repo(src_repo: str, dst_repo: str, src_repo_type: str, dst_repo_type: str,
+                      is_private: bool, subfolder_type: str=HF_SUBFOLDER_NAME[1], progress=gr.Progress(track_tqdm=True)):
+    hf_token = get_token()
+    api = HfApi(token=hf_token)
+    try:
+        if subfolder_type == "user_repo": subfolder = src_repo.replace("/", "_")
+        else: subfolder = ""
+        progress(0, desc="Start duplicating...")
+        api.create_repo(repo_id=dst_repo, repo_type=dst_repo_type, private=is_private, exist_ok=True, token=hf_token)
+        for path in api.list_repo_files(repo_id=src_repo, repo_type=src_repo_type, token=hf_token):
+            file = hf_hub_download(repo_id=src_repo, filename=path, repo_type=src_repo_type, token=hf_token)
+            if not Path(file).exists(): continue
+            if Path(file).is_dir(): # unused for now
+                api.upload_folder(repo_id=dst_repo, folder_path=file, path_in_repo=f"{subfolder}/{path}" if subfolder else path,
+                                  repo_type=dst_repo_type, token=hf_token)
+            elif Path(file).is_file():
+                api.upload_file(repo_id=dst_repo, path_or_fileobj=file, path_in_repo=f"{subfolder}/{path}" if subfolder else path,
+                                repo_type=dst_repo_type, token=hf_token)
+            if Path(file).exists(): Path(file).unlink()
+        progress(1, desc="Duplicated.")
+        return f"{get_hf_url(dst_repo, dst_repo_type)}/tree/main/{subfolder}" if subfolder else get_hf_url(dst_repo, dst_repo_type)
+    except Exception as e:
+        print(f"Error: Failed to duplicate repo {src_repo} to {dst_repo}. {e}")
+        return ""
+