civitai_to_hf.py

import gradio as gr
from huggingface_hub import HfApi, hf_hub_url
import os
from pathlib import Path
import gc
import requests
from requests.adapters import HTTPAdapter
from urllib3.util import Retry
from utils import get_token, set_token, is_repo_exists, get_user_agent, get_download_file, list_uniq
import re
from PIL import Image
import json
import pandas as pd


TEMP_DIR = "."


def parse_urls(s):
    url_pattern = "https?://[\\w/:%#\\$&\\?\\(\\)~\\.=\\+\\-]+"
    try:
        urls = re.findall(url_pattern, s)
        return list(urls)
    except Exception:
        return []


def to_urls(l: list[str]):
    return "\n".join(l)


def uniq_urls(s):
    return to_urls(list_uniq(parse_urls(s)))


def upload_safetensors_to_repo(filename, repo_id, repo_type, is_private, progress=gr.Progress(track_tqdm=True)):
    output_filename = Path(filename).name
    hf_token = get_token()
    api = HfApi(token=hf_token)
    try:
        if not is_repo_exists(repo_id, repo_type): api.create_repo(repo_id=repo_id, repo_type=repo_type, token=hf_token, private=is_private)
        progress(0, desc=f"Start uploading... {filename} to {repo_id}")
        api.upload_file(path_or_fileobj=filename, path_in_repo=output_filename, repo_type=repo_type, revision="main", token=hf_token, repo_id=repo_id)
        progress(1, desc="Uploaded.")
        url = hf_hub_url(repo_id=repo_id, repo_type=repo_type, filename=output_filename)
    except Exception as e:
        print(f"Error: Failed to upload to {repo_id}. {e}")
        gr.Warning(f"Error: Failed to upload to {repo_id}. {e}")
        return None
    finally:
        Path(filename).unlink()
    return url


def download_file(dl_url, civitai_key, progress=gr.Progress(track_tqdm=True)):
    download_dir = TEMP_DIR
    progress(0, desc=f"Start downloading... {dl_url}")
    output_filename = get_download_file(download_dir, dl_url, civitai_key)
    return output_filename


def save_civitai_info(dl_url, filename, progress=gr.Progress(track_tqdm=True)):
    json_str, html_str, image_path = get_civitai_json(dl_url, True, filename)
    if not json_str: return  "", "", ""
    json_path = str(Path(TEMP_DIR, Path(filename).stem + ".json"))
    html_path = str(Path(TEMP_DIR, Path(filename).stem + ".html"))
    try:
        with open(json_path, 'w') as f:
            json.dump(json_str, f, indent=2)
        with open(html_path, mode='w', encoding="utf-8") as f:
            f.write(html_str)
        return json_path, html_path, image_path
    except Exception as e:
        print(f"Error: Failed to save info file {json_path}, {html_path} {e}")
        return "", "", ""


def upload_info_to_repo(dl_url, filename, repo_id, repo_type, is_private, progress=gr.Progress(track_tqdm=True)):
    def upload_file(api, filename, repo_id, repo_type, hf_token):
        if not Path(filename).exists(): return
        api.upload_file(path_or_fileobj=filename, path_in_repo=Path(filename).name, repo_type=repo_type, revision="main", token=hf_token, repo_id=repo_id)
        Path(filename).unlink()

    hf_token = get_token()
    api = HfApi(token=hf_token)
    try:
        if not is_repo_exists(repo_id, repo_type): api.create_repo(repo_id=repo_id, repo_type=repo_type, token=hf_token, private=is_private)
        progress(0, desc=f"Downloading info... {filename}")
        json_path, html_path, image_path = save_civitai_info(dl_url, filename)
        progress(0, desc=f"Start uploading info... {filename} to {repo_id}")
        if not json_path: return
        else: upload_file(api, json_path, repo_id, repo_type, hf_token)
        if html_path: upload_file(api, html_path, repo_id, repo_type, hf_token)
        if image_path: upload_file(api, image_path, repo_id, repo_type, hf_token)
        progress(1, desc="Info uploaded.")
        return
    except Exception as e:
        print(f"Error: Failed to upload info to {repo_id}. {e}")
        gr.Warning(f"Error: Failed to upload info to {repo_id}. {e}")
        return


def download_civitai(dl_url, civitai_key, hf_token, urls, 

                     newrepo_id, repo_type="model", is_private=True, is_info=False, progress=gr.Progress(track_tqdm=True)):
    if hf_token: set_token(hf_token)
    else: set_token(os.environ.get("HF_TOKEN")) # default huggingface write token
    if not civitai_key: civitai_key = os.environ.get("CIVITAI_API_KEY") # default Civitai API key
    if not newrepo_id: newrepo_id = os.environ.get("HF_REPO") # default repo to upload
    if not get_token() or not civitai_key: raise gr.Error("HF write token and Civitai API key is required.")
    dl_urls = parse_urls(dl_url)
    if not urls: urls = []
    for u in dl_urls:
        file = download_file(u, civitai_key)
        if not Path(file).exists() or not Path(file).is_file(): continue
        url = upload_safetensors_to_repo(file, newrepo_id, repo_type, is_private)
        if url:
            urls.append(url)
            if is_info: upload_info_to_repo(u, file, newrepo_id, repo_type, is_private)
    progress(1, desc="Processing...")
    md = f'### Your repo: [{newrepo_id}]({"https://huggingface.co/datasets/" if repo_type == "dataset" else "https://huggingface.co/"}{newrepo_id})\n'
    for u in urls:
        md += f"- Uploaded [{str(u)}]({str(u)})\n"
    gc.collect()
    return gr.update(value=urls, choices=urls), gr.update(value=md)


CIVITAI_TYPE = ["Checkpoint", "TextualInversion", "Hypernetwork", "AestheticGradient", "LORA", "Controlnet", "Poses"]
CIVITAI_BASEMODEL = ["Pony", "SD 1.5", "SDXL 1.0", "Flux.1 D", "Flux.1 S"]
CIVITAI_SORT = ["Highest Rated", "Most Downloaded", "Newest"]
CIVITAI_PERIOD = ["AllTime", "Year", "Month", "Week", "Day"]


def search_on_civitai(query: str, types: list[str], allow_model: list[str] = [], limit: int = 100,

                           sort: str = "Highest Rated", period: str = "AllTime", tag: str = "", user: str = "", page: int = 1):
    user_agent = get_user_agent()
    headers = {'User-Agent': user_agent, 'content-type': 'application/json'}
    base_url = 'https://civitai.com/api/v1/models'
    params = {'sort': sort, 'period': period, 'limit': int(limit), 'page': int(page),'nsfw': 'true'}
    if len(types) != 0: params["types"] = types
    if query: params["query"] = query
    if tag: params["tag"] = tag
    if user: params["username"] = user
    session = requests.Session()
    retries = Retry(total=5, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
    session.mount("https://", HTTPAdapter(max_retries=retries))
    try:
        r = session.get(base_url, params=params, headers=headers, stream=True, timeout=(3.0, 30))
    except Exception as e:
        print(e)
        return None
    else:
        if not r.ok: return None
        json = r.json()
        if 'items' not in json: return None
        items = []
        for j in json['items']:
            for model in j['modelVersions']:
                item = {}
                if len(allow_model) != 0 and model['baseModel'] not in set(allow_model): continue
                item['name'] = j['name']
                item['creator'] = j['creator']['username'] if 'creator' in j.keys() and 'username' in j['creator'].keys() else ""
                item['tags'] = j['tags'] if 'tags' in j.keys() else []
                item['model_name'] = model['name'] if 'name' in model.keys() else ""
                item['base_model'] = model['baseModel'] if 'baseModel' in model.keys() else ""
                item['description'] = model['description'] if 'description' in model.keys() else ""
                item['dl_url'] = model['downloadUrl']
                item['md'] = ""
                if 'images' in model.keys() and len(model["images"]) != 0:
                    item['md'] += f'<img src="{model["images"][0]["url"]}#float" alt="thumbnail" width="150" height="240"><br>'
                item['md'] += f'''Model URL: [https://civitai.com/models/{j["id"]}](https://civitai.com/models/{j["id"]})<br>Model Name: {item["name"]}<br>

                    Creator: {item["creator"]}<br>Tags: {", ".join(item["tags"])}<br>Base Model: {item["base_model"]}<br>Description: {item["description"]}'''
                items.append(item)
        return items


civitai_last_results = {}
civitai_last_choices = [("", "")]


def search_civitai(query, types, base_model=[], sort=CIVITAI_SORT[0], period=CIVITAI_PERIOD[0], tag="", user="", limit=100, page=1):
    global civitai_last_results, civitai_last_choices
    civitai_last_choices = [("", "")]
    civitai_last_results = {}
    items = search_on_civitai(query, types, base_model, int(limit), sort, period, tag, user, int(page))
    if not items: return gr.update(choices=[("", "")], value=[], visible=True),\
          gr.update(value="", visible=False), gr.update(visible=True), gr.update(visible=True)
    choices = []
    for item in items:
        base_model_name = "Pony🐴" if item['base_model'] == "Pony" else item['base_model']
        name = f"{item['name']} (for {base_model_name} / By: {item['creator']} / Tags: {', '.join(item['tags'])})"
        value = item['dl_url']
        choices.append((name, value))
        civitai_last_results[value] = item
    if not choices: return gr.update(choices=[("", "")], value=[], visible=True),\
          gr.update(value="", visible=False), gr.update(visible=True), gr.update(visible=True)
    #result = civitai_last_results.get(choices[0][1], "None") # for debug
    #md = result['md'] if result else "" # for debug
    md = ""
    civitai_last_choices = choices
    return gr.update(choices=choices, value=[], visible=True), gr.update(value=md, visible=True),\
          gr.update(visible=True), gr.update(visible=True)


def get_civitai_json(dl_url: str, is_html: bool=False, image_baseurl: str=""):
    if not image_baseurl: image_baseurl = dl_url
    default = ("", "", "") if is_html else ""
    if "https://civitai.com/api/download/models/" not in dl_url: return default
    user_agent = get_user_agent()
    headers = {'User-Agent': user_agent, 'content-type': 'application/json'}
    base_url = 'https://civitai.com/api/v1/model-versions/'
    params = {}
    session = requests.Session()
    retries = Retry(total=5, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
    session.mount("https://", HTTPAdapter(max_retries=retries))
    url = base_url + str(dl_url.split("/")[-1])
    try:
        r = session.get(url, params=params, headers=headers, stream=True, timeout=(3.0, 15))
        if not r.ok: return default
        json = dict(r.json()).copy()
        html = ""
        image = ""
        if "modelId" in json.keys():
            url = f"https://civitai.com/models/{json['modelId']}"
            r = session.get(url, params=params, headers=headers, stream=True, timeout=(3.0, 15))
            if not r.ok: return json, html, image
            html = r.text
        if 'images' in json.keys() and len(json["images"]) != 0:
            url = json["images"][0]["url"]
            r = session.get(url, params=params, headers=headers, stream=True, timeout=(3.0, 15))
            if not r.ok: return json, html, image
            image_temp = str(Path(TEMP_DIR, "image" + Path(url.split("/")[-1]).suffix))
            image = str(Path(TEMP_DIR, Path(image_baseurl.split("/")[-1]).stem + ".png"))
            with open(image_temp, 'wb') as f:
                f.write(r.content)
            Image.open(image_temp).convert('RGBA').save(image)
        return json, html, image
    except Exception as e:
        print(e)
        return default


def get_civitai_tag():
    default = [""]
    user_agent = get_user_agent()
    headers = {'User-Agent': user_agent, 'content-type': 'application/json'}
    base_url = 'https://civitai.com/api/v1/tags'
    params = {'limit': 200}
    session = requests.Session()
    retries = Retry(total=5, backoff_factor=1, status_forcelist=[500, 502, 503, 504])
    session.mount("https://", HTTPAdapter(max_retries=retries))
    url = base_url
    try:
        r = session.get(url, params=params, headers=headers, stream=True, timeout=(3.0, 15))
        if not r.ok: return default
        j = dict(r.json()).copy()
        if "items" not in j.keys(): return default
        items = []
        for item in j["items"]:
            items.append([str(item.get("name", "")), int(item.get("modelCount", 0))])
        df = pd.DataFrame(items)
        df.sort_values(1, ascending=False)
        tags = df.values.tolist()
        tags = [""] + [l[0] for l in tags]
        return tags
    except Exception as e:
        print(e)
        return default


def select_civitai_item(results: list[str]):
    json = {}
    if "http" not in "".join(results) or len(results) == 0: return gr.update(value="", visible=True), gr.update(value=json, visible=False)
    result = civitai_last_results.get(results[-1], None)
    md = result['md'] if result else ""
    #json, html, image = get_civitai_json(results[-1], True) # for debugging
    return gr.update(value=md, visible=True), gr.update(value=json, visible=False)


def add_civitai_item(results: list[str], dl_url: str):
    if "http" not in "".join(results): return gr.update(value=dl_url)
    new_url = dl_url if dl_url else ""
    for result in results:
        if "http" not in result: continue
        new_url += f"\n{result}" if new_url else f"{result}"
    new_url = uniq_urls(new_url)
    return gr.update(value=new_url)


def select_civitai_all_item(button_name: str):
    if button_name not in ["Select All", "Deselect All"]: return gr.update(value=button_name), gr.Update(visible=True)
    selected = [t[1] for t in civitai_last_choices if t[1] != ""] if button_name == "Select All" else []
    new_button_name = "Select All" if button_name == "Deselect All" else "Deselect All"
    return gr.update(value=new_button_name), gr.update(value=selected, choices=civitai_last_choices)