civitai_to_hf / app.py
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import gradio as gr
from civitai_to_hf import (search_civitai, download_civitai, select_civitai_item, add_civitai_item, get_civitai_tag, select_civitai_all_item,
update_civitai_selection, update_civitai_checkbox, from_civitai_checkbox,
CIVITAI_TYPE, CIVITAI_BASEMODEL, CIVITAI_SORT, CIVITAI_PERIOD, CIVITAI_FILETYPE)
css = """
.title { font-size: 3em; align-items: center; text-align: center; }
.info { align-items: center; text-align: center; }
.block.result { margin: 1em 0; padding: 1em; box-shadow: 0 0 3px 3px #664422, 0 0 3px 2px #664422 inset; border-radius: 6px; background: #665544; }
.desc [src$='#float'] { float: right; margin: 20px; }
"""
with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css, delete_cache=(60, 3600)) as demo:
with gr.Column():
gr.Markdown("# CivitAI to HF🤗 Downloader & Uploader", elem_classes="title")
state = gr.State(value={})
with gr.Accordion("Search Civitai", open=True):
with gr.Row():
search_civitai_type = gr.CheckboxGroup(label="Type", choices=CIVITAI_TYPE, value=["Checkpoint", "LORA"])
search_civitai_basemodel = gr.CheckboxGroup(label="Base Model", choices=CIVITAI_BASEMODEL, value=[])
search_civitai_filetype = gr.CheckboxGroup(label="File type", choices=CIVITAI_FILETYPE, value=["Model"])
with gr.Row():
search_civitai_sort = gr.Radio(label="Sort", choices=CIVITAI_SORT, value=CIVITAI_SORT[0])
search_civitai_period = gr.Radio(label="Period", choices=CIVITAI_PERIOD, value="Month")
search_civitai_limit = gr.Number(label="Limit", minimum=1, maximum=100, step=1, value=100)
search_civitai_page = gr.Number(label="Page", info="If 0, retrieve all pages", minimum=0, maximum=10, step=1, value=1)
with gr.Row(equal_height=True):
search_civitai_query = gr.Textbox(label="Query", placeholder="flux", lines=1)
search_civitai_tag = gr.Dropdown(label="Tag", choices=get_civitai_tag(), value=get_civitai_tag()[0], allow_custom_value=True)
search_civitai_user = gr.Textbox(label="Username", lines=1)
search_civitai_submit = gr.Button("Search on Civitai")
with gr.Accordion("Results", open=True):
with gr.Row():
search_civitai_desc = gr.Markdown(value="", visible=False, elem_classes="desc")
search_civitai_json = gr.JSON(value={}, visible=False)
with gr.Row(equal_height=True):
with gr.Column(scale=9):
with gr.Accordion("Select from Gallery", open=False):
search_civitai_gallery = gr.Gallery([], label="Results", allow_preview=False, columns=5, elem_id="gallery", show_share_button=False, interactive=False)
with gr.Accordion("Select by Checkbox", open=False):
search_civitai_result_checkbox = gr.CheckboxGroup(label="", choices=[], value=[])
search_civitai_result = gr.Dropdown(label="Search Results", choices=[("", "")], value=[],
allow_custom_value=True, visible=True, multiselect=True)
search_civitai_result_info = gr.Markdown("Search result.", elem_classes="info")
with gr.Column(scale=1):
search_civitai_add = gr.Button("Add to download URLs")
search_civitai_select_all = gr.Button("Select All", variant="secondary", size="sm")
with gr.Group():
dl_url = gr.Textbox(label="Download URL(s)", placeholder="https://civitai.com/api/download/models/28907\n...", value="", lines=3, max_lines=255)
with gr.Column():
civitai_key = gr.Textbox(label="Your Civitai Key", value="", max_lines=1)
gr.Markdown("Your Civitai API key is available at [https://civitai.com/user/account](https://civitai.com/user/account).", elem_classes="info")
with gr.Group():
with gr.Row():
with gr.Column():
hf_token = gr.Textbox(label="Your HF write token", placeholder="hf_...", value="", max_lines=1)
gr.Markdown("Your token is available at [hf.co/settings/tokens](https://huggingface.co/settings/tokens).", elem_classes="info")
newrepo_id = gr.Textbox(label="Upload repo ID", placeholder="yourid/yourrepo", value="", max_lines=1)
with gr.Row():
newrepo_type = gr.Radio(label="Upload repo type", choices=["model", "dataset"], value="model")
is_private = gr.Checkbox(label="Create private repo", value=True)
is_info = gr.Checkbox(label="Upload Civitai information files", value=False)
is_rename = gr.Checkbox(label="Auto rename", value=True)
run_button = gr.Button(value="Download and Upload", variant="primary")
uploaded_urls = gr.CheckboxGroup(visible=False, choices=[], value=None) # hidden
urls_md = gr.Markdown("<br><br>", elem_classes="result")
urls_remain = gr.Textbox("Remaining URLs", value="", show_copy_button=True, visible=False)
gr.DuplicateButton(value="Duplicate Space")
gr.on(
triggers=[run_button.click],
fn=download_civitai,
inputs=[dl_url, civitai_key, hf_token, uploaded_urls, newrepo_id, newrepo_type, is_private, is_info, is_rename],
outputs=[uploaded_urls, urls_md, urls_remain],
queue=True,
)
gr.on(
triggers=[search_civitai_submit.click, search_civitai_query.submit, search_civitai_user.submit],
fn=search_civitai,
inputs=[search_civitai_query, search_civitai_type, search_civitai_basemodel, search_civitai_sort,
search_civitai_period, search_civitai_tag, search_civitai_user, search_civitai_limit,
search_civitai_page, search_civitai_filetype, civitai_key, search_civitai_gallery, state],
outputs=[search_civitai_result, search_civitai_desc, search_civitai_submit, search_civitai_query, search_civitai_gallery,
search_civitai_result_checkbox, search_civitai_result_info, state],
queue=False,
show_api=False,
)
search_civitai_result.change(select_civitai_item, [search_civitai_result, state], [search_civitai_desc, search_civitai_json, state], queue=False, show_api=False)\
.success(update_civitai_checkbox, [search_civitai_result], [search_civitai_result_checkbox], queue=True, show_api=False)
search_civitai_result_checkbox.select(from_civitai_checkbox, [search_civitai_result_checkbox], [search_civitai_result], queue=False, show_api=False)
search_civitai_add.click(add_civitai_item, [search_civitai_result, dl_url], [dl_url], queue=False, show_api=False)
search_civitai_select_all.click(select_civitai_all_item, [search_civitai_select_all, state], [search_civitai_select_all, search_civitai_result], queue=False, show_api=False)
search_civitai_gallery.select(update_civitai_selection, [search_civitai_result, state], [search_civitai_result], queue=False, show_api=False)
demo.queue()
demo.launch(ssr_mode=False)