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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_name, is_repo_exists, get_user_agent, get_download_file, list_uniq, duplicate_hf_repo, HF_SUBFOLDER_NAME | |
import re | |
from PIL import Image | |
import json | |
import pandas as pd | |
import tempfile | |
TEMP_DIR = tempfile.mkdtemp() | |
def parse_urls(s): | |
url_pattern = "https?://[\\w/:%#\\$&\\?\\(\\)~\\.=\\+\\-]+" | |
try: | |
urls = re.findall(url_pattern, s) | |
return list(urls) | |
except Exception: | |
return [] | |
def parse_repos(s): | |
repo_pattern = r'[^\w_\-\.]?([\w_\-\.]+/[\w_\-\.]+)[^\w_\-\.]?' | |
try: | |
s = re.sub("https?://[\\w/:%#\\$&\\?\\(\\)~\\.=\\+\\-]+", "", s) | |
repos = re.findall(repo_pattern, s) | |
return list(repos) | |
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) + parse_repos(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.") | |
if not urls: urls = [] | |
dl_urls = parse_urls(dl_url) | |
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) | |
dp_repos = parse_repos(dl_url) | |
for r in dp_repos: | |
url = duplicate_hf_repo(r, newrepo_id, "model", repo_type, is_private, HF_SUBFOLDER_NAME[1]) | |
if url: urls.append(url) | |
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", "Illustrious", "SDXL 1.0", "SD 1.5", "Flux.1 D", "Flux.1 S", "SD 3.5"] | |
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['img_url'] = model["images"][0]["url"] | |
item['md'] += f'<img src="{model["images"][0]["url"]}#float" alt="thumbnail" width="150" height="240"><br>' | |
else: item['img_url'] = "/home/user/app/null.png" | |
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 = [("", "")] | |
civitai_last_gallery = [] | |
def search_civitai(query, types, base_model=[], sort=CIVITAI_SORT[0], period=CIVITAI_PERIOD[0], tag="", user="", limit=100, page=1, gallery=[]): | |
global civitai_last_results, civitai_last_choices, civitai_last_gallery | |
civitai_last_choices = [("", "")] | |
civitai_last_gallery = [] | |
civitai_last_results = {} | |
results_info = "No item found." | |
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(), gr.update(), gr.update(), gr.update(), results_info | |
choices = [] | |
gallery = [] | |
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'])})" | |
name = f"{item['name']} (for {base_model_name} / By: {item['creator']})" | |
value = item['dl_url'] | |
choices.append((name, value)) | |
gallery.append((item['img_url'], name)) | |
civitai_last_results[value] = item | |
if not choices: return gr.update(choices=[("", "")], value=[], visible=True),\ | |
gr.update(value="", visible=False), gr.update(), gr.update(), gr.update(), gr.update(), results_info | |
#result = civitai_last_results.get(choices[0][1], "None") # for debug | |
#md = result['md'] if result else "" # for debug | |
md = "" | |
civitai_last_choices = choices | |
civitai_last_gallery = gallery | |
results_info = f"{int(len(choices))} items found." | |
return gr.update(choices=choices, value=[], visible=True), gr.update(value=md, visible=True),\ | |
gr.update(), gr.update(), gr.update(value=gallery), gr.update(choices=choices, value=[]), results_info | |
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) | |
def update_civitai_selection(evt: gr.SelectData, value: list[str]): | |
try: | |
selected_index = evt.index | |
selected = list_uniq([v for v in value if v != ""] + [civitai_last_choices[selected_index][1]]) | |
return gr.update(value=selected) | |
except Exception: | |
return gr.update() | |
def update_civitai_checkbox(selected: list[str]): | |
return gr.update(value=selected) | |
def from_civitai_checkbox(selected: list[str]): | |
return gr.update(value=selected) | |