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| import requests | |
| import os | |
| import gradio as gr | |
| from huggingface_hub import HfApi | |
| from slugify import slugify | |
| import gradio as gr | |
| import uuid | |
| from typing import Optional | |
| def get_json_data(url): | |
| api_url = f"https://civitai.com/api/v1/models/{url.split('/')[4]}" | |
| try: | |
| response = requests.get(api_url) | |
| response.raise_for_status() | |
| return response.json() | |
| except requests.exceptions.RequestException as e: | |
| print(f"Error fetching JSON data: {e}") | |
| return None | |
| def check_nsfw(json_data): | |
| if json_data["nsfw"]: | |
| return False | |
| for model_version in json_data["modelVersions"]: | |
| for image in model_version["images"]: | |
| if image["nsfw"] != "None": | |
| return False | |
| return True | |
| def extract_info(json_data): | |
| if json_data["type"] == "LORA": | |
| for model_version in json_data["modelVersions"]: | |
| if model_version["baseModel"] in ["SDXL 1.0", "SDXL 0.9"]: | |
| for file in model_version["files"]: | |
| if file["primary"]: | |
| info = { | |
| "urls_to_download": [ | |
| {"url": file["downloadUrl"], "filename": file["name"], "type": "weightName"}, | |
| {"url": model_version["images"][0]["url"], "filename": os.path.basename(model_version["images"][0]["url"]), "type": "imageName"} | |
| ], | |
| "id": model_version["id"], | |
| "modelId": model_version["modelId"], | |
| "name": json_data["name"], | |
| "description": json_data["description"], | |
| "trainedWords": model_version["trainedWords"], | |
| "creator": json_data["creator"]["username"] | |
| } | |
| return info | |
| return None | |
| def download_files(info, folder="."): | |
| downloaded_files = { | |
| "imageName": [], | |
| "weightName": [] | |
| } | |
| for item in info["urls_to_download"]: | |
| download_file(item["url"], item["filename"], folder) | |
| downloaded_files[item["type"]].append(item["filename"]) | |
| return downloaded_files | |
| def download_file(url, filename, folder="."): | |
| try: | |
| response = requests.get(url) | |
| response.raise_for_status() | |
| with open(f"{folder}/{filename}", 'wb') as f: | |
| f.write(response.content) | |
| print(f"{filename} downloaded.") | |
| except requests.exceptions.RequestException as e: | |
| print(f"Error downloading file: {e}") | |
| def process_url(url, folder="."): | |
| json_data = get_json_data(url) | |
| if json_data: | |
| if check_nsfw(json_data): | |
| info = extract_info(json_data) | |
| if info: | |
| downloaded_files = download_files(info, folder) | |
| return info, downloaded_files | |
| else: | |
| print("No model met the criteria.") | |
| else: | |
| print("NSFW content found.") | |
| else: | |
| print("Failed to get JSON data.") | |
| def create_readme(info, downloaded_files, is_author, folder="."): | |
| readme_content = "" | |
| original_url = f"https://civitai.com/models/{info['id']}" | |
| non_author_disclaimer = f'This model was originally uploaded on [CivitAI]({original_url}), by [{info["creator"]}](https://civitai.com/user/{info["creator"]}/models). The information below was provided by the author on CivitAI:' | |
| content = f"""--- | |
| license: other | |
| tags: | |
| - text-to-image | |
| - stable-diffusion | |
| - lora | |
| - diffusers | |
| base_model: stabilityai/stable-diffusion-xl-base-1.0 | |
| instance_prompt: {info["trainedWords"][0]} | |
| widget: | |
| - text: {info["trainedWords"][0]} | |
| --- | |
| # {info["name"]} | |
| {non_author_disclaimer if not is_author else ''} | |
| ![Image]({downloaded_files["imageName"][0]}) | |
| {info["description"]} | |
| """ | |
| readme_content += content + "\n" | |
| with open(f"{folder}/README.md", "w") as file: | |
| file.write(readme_content) | |
| def upload_civit_to_hf(profile: Optional[gr.OAuthProfile], url, is_author, progress=gr.Progress(track_tqdm=True)): | |
| if not profile.name: | |
| return gr.Error("Are you sure you are logged in?") | |
| folder = str(uuid.uuid4()) | |
| os.makedirs(folder, exist_ok=False) | |
| info, downloaded_files = process_url(url, folder) | |
| create_readme(info, downloaded_files, False, folder) | |
| try: | |
| api = HfApi(token=hf_token) | |
| username = api.whoami()["name"] | |
| slug_name = slugify(info["name"]) | |
| repo_id = f"{username}/{slug_name}" | |
| api.create_repo(repo_id=repo_id, private=True, exist_ok=True) | |
| api.upload_folder( | |
| folder_path=folder, | |
| repo_id=repo_id, | |
| repo_type="model" | |
| ) | |
| except: | |
| raise gr.Error("something went wrong") | |
| return "Model uploaded!" | |
| def swap_fill(profile: Optional[gr.OAuthProfile]): | |
| if profile is None: | |
| return gr.update(visible=True), gr.update(visible=False) | |
| else: | |
| return gr.update(visible=False), gr.update(visible=True) | |
| css = ''' | |
| #login { | |
| font-size: 0px; | |
| width: 100% !important; | |
| margin: 0 auto; | |
| } | |
| #login:after { | |
| content: 'Authorize this app before uploading your model'; | |
| visibility: visible; | |
| display: block; | |
| font-size: var(--button-large-text-size); | |
| } | |
| #login:disabled{ | |
| font-size: var(--button-large-text-size); | |
| } | |
| #login:disabled:after{ | |
| content:'' | |
| } | |
| #disabled_upload{ | |
| opacity: 0.5; | |
| pointer-events:none; | |
| } | |
| ''' | |
| with gr.Blocks(css=css) as demo: | |
| gr.LoginButton(elem_id="login") | |
| with gr.Column(elem_id="disabled_upload") as disabled_area: | |
| with gr.Row(): | |
| submit_source_civit = gr.Textbox( | |
| label="CivitAI model URL", | |
| info="URL of the CivitAI model, make sure it is a SDXL LoRA", | |
| ) | |
| is_author = gr.Checkbox(label="Are you the model author?", info="If you are not the author, a disclaimer with information about the author and the CivitAI source will be added", value=False) | |
| submit_button_civit = gr.Button("Upload model to Hugging Face and submit") | |
| output = gr.Textbox(label="Output progress") | |
| with gr.Column(visible=False) as enabled_area: | |
| with gr.Row(): | |
| submit_source_civit = gr.Textbox( | |
| label="CivitAI model URL", | |
| info="URL of the CivitAI model, make sure it is a SDXL LoRA", | |
| ) | |
| is_author = gr.Checkbox(label="Are you the model author?", info="If you are not the author, a disclaimer with information about the author and the CivitAI source will be added", value=False) | |
| submit_button_civit = gr.Button("Upload model to Hugging Face") | |
| output = gr.Textbox(label="Output progress") | |
| demo.load(fn=swap_fill, outputs=[disabled_area, enabled_area]) | |
| submit_button_civit.click(fn=upload_civit_to_hf, inputs=[submit_source_civit, is_author], outputs=[output]) | |
| demo.queue() | |
| demo.launch(share=True) |