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  1. README.md +2 -1
  2. app.py +169 -45
  3. bucket_ops.py +108 -0
  4. civitai_to_hf.py +0 -0
  5. packages.txt +3 -1
  6. requirements.txt +2 -2
  7. utils.py +384 -70
README.md CHANGED
@@ -4,7 +4,8 @@ emoji: 🤗
4
  colorFrom: yellow
5
  colorTo: blue
6
  sdk: gradio
7
- sdk_version: 5.49.0
 
8
  app_file: app.py
9
  pinned: false
10
  license: mit
 
4
  colorFrom: yellow
5
  colorTo: blue
6
  sdk: gradio
7
+ sdk_version: 6.11.0
8
+ python_version: "3.10.13"
9
  app_file: app.py
10
  pinned: false
11
  license: mit
app.py CHANGED
@@ -1,24 +1,98 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  import gradio as gr
2
- from civitai_to_hf import (search_civitai, download_civitai, select_civitai_item, add_civitai_item, get_civitai_tag, select_civitai_all_item,
3
- update_civitai_selection, update_civitai_checkbox, from_civitai_checkbox,
4
- CIVITAI_TYPE, CIVITAI_BASEMODEL, CIVITAI_SORT, CIVITAI_PERIOD, CIVITAI_FILETYPE)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
5
 
6
  css = """
7
  .title { font-size: 3em; align-items: center; text-align: center; }
8
  .info { align-items: center; text-align: center; }
9
  .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; }
10
- .desc [src$='#float'] { float: right; margin: 20px; }
 
 
11
  """
12
 
13
- with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css, delete_cache=(60, 3600)) as demo:
14
  with gr.Column():
15
  gr.Markdown("# CivitAI to HF🤗 Downloader & Uploader", elem_classes="title")
16
- state = gr.State(value={})
 
17
  with gr.Accordion("Search Civitai", open=True):
18
  with gr.Row():
19
- search_civitai_type = gr.CheckboxGroup(label="Type", choices=CIVITAI_TYPE, value=["Checkpoint", "LORA"])
20
- search_civitai_sort = gr.Radio(label="Sort", choices=CIVITAI_SORT, value=CIVITAI_SORT[0])
21
- search_civitai_period = gr.Radio(label="Period", choices=CIVITAI_PERIOD, value="Month")
22
  with gr.Accordion("Advanced", open=False):
23
  search_civitai_basemodel = gr.CheckboxGroup(label="Base Model", choices=CIVITAI_BASEMODEL, value=[])
24
  with gr.Row():
@@ -27,75 +101,125 @@ with gr.Blocks(theme="NoCrypt/miku@>=1.2.2", fill_width=True, css=css, delete_ca
27
  search_civitai_page = gr.Number(label="Page", info="If 0, retrieve all pages", minimum=0, maximum=10, step=1, value=1)
28
  with gr.Row(equal_height=True):
29
  search_civitai_query = gr.Textbox(label="Query", placeholder="flux", lines=1)
30
- search_civitai_tag = gr.Dropdown(label="Tag", choices=get_civitai_tag(), value=get_civitai_tag()[0], allow_custom_value=True)
31
- search_civitai_user = gr.Textbox(label="Username", lines=1)
32
  search_civitai_submit = gr.Button("Search on Civitai")
33
  with gr.Accordion("Results", open=True):
34
- with gr.Row():
35
- search_civitai_desc = gr.Markdown(value="", visible=False, elem_classes="desc")
36
- search_civitai_json = gr.JSON(value={}, visible=False)
 
 
 
 
 
 
 
 
 
 
37
  with gr.Row(equal_height=True):
38
  with gr.Column(scale=9):
39
- with gr.Accordion("Select from Gallery", open=False):
40
- search_civitai_gallery = gr.Gallery([], label="Results", allow_preview=False, columns=5, elem_id="gallery", show_share_button=False, interactive=False)
41
  with gr.Accordion("Select by Checkbox", open=False):
42
- search_civitai_result_checkbox = gr.CheckboxGroup(label="", choices=[], value=[])
43
- search_civitai_result = gr.Dropdown(label="Search Results", choices=[("", "")], value=[],
44
- allow_custom_value=True, visible=True, multiselect=True)
45
- search_civitai_result_info = gr.Markdown("Search result.", elem_classes="info")
46
  with gr.Column(scale=1):
47
  search_civitai_add = gr.Button("Add to download URLs")
48
  search_civitai_select_all = gr.Button("Select All", variant="secondary", size="sm")
49
- with gr.Group():
50
  dl_url = gr.Textbox(label="Download URL(s)", placeholder="https://civitai.com/api/download/models/28907\n...", value="", lines=3, max_lines=255)
51
  with gr.Column():
52
- civitai_key = gr.Textbox(label="Your Civitai Key", value="", max_lines=1)
53
- gr.Markdown("Your Civitai API key is available at [https://civitai.com/user/account](https://civitai.com/user/account).", elem_classes="info")
54
- with gr.Group():
 
55
  with gr.Row():
56
  with gr.Column():
57
  hf_token = gr.Textbox(label="Your HF write token", placeholder="hf_...", value="", max_lines=1)
58
  gr.Markdown("Your token is available at [hf.co/settings/tokens](https://huggingface.co/settings/tokens).", elem_classes="info")
59
  newrepo_id = gr.Textbox(label="Upload repo ID", placeholder="yourid/yourrepo", value="", max_lines=1)
60
  with gr.Row():
61
- newrepo_type = gr.Radio(label="Upload repo type", choices=["model", "dataset"], value="model")
62
  is_private = gr.Checkbox(label="Create private repo", value=True)
63
  is_info = gr.Checkbox(label="Upload Civitai information files", value=False)
64
  is_rename = gr.Checkbox(label="Auto rename", value=True)
 
65
  with gr.Row():
66
  run_button = gr.Button(value="Download and Upload", variant="primary")
67
  stop_button = gr.Button(value="Cancel", variant="stop")
68
- uploaded_urls = gr.CheckboxGroup(visible=False, choices=[], value=None) # hidden
69
- urls_md = gr.Markdown("<br><br>", elem_classes="result")
70
- urls_remain = gr.Textbox(label="Remaining URLs", value="", show_copy_button=True, visible=False)
71
- gr.DuplicateButton(value="Duplicate Space")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
72
 
73
  download_evt = gr.on(
74
  triggers=[run_button.click],
75
  fn=download_civitai,
76
- inputs=[dl_url, civitai_key, hf_token, uploaded_urls, newrepo_id, newrepo_type, is_private, is_info, is_rename],
77
- outputs=[uploaded_urls, urls_md, urls_remain],
 
 
 
 
 
 
 
 
 
78
  queue=True,
 
 
 
79
  )
80
- stop_button.click(fn=None, cancels=[download_evt], queue=False, show_api=False)
81
- stop_button.click(fn=lambda: gr.update(visible=True), inputs=None, outputs=[urls_remain], queue=False, show_api=False)
 
 
 
 
82
  gr.on(
83
- triggers=[search_civitai_submit.click, search_civitai_query.submit, search_civitai_user.submit],
84
  fn=search_civitai,
85
  inputs=[search_civitai_query, search_civitai_type, search_civitai_basemodel, search_civitai_sort,
86
  search_civitai_period, search_civitai_tag, search_civitai_user, search_civitai_limit,
87
- search_civitai_page, search_civitai_filetype, civitai_key, search_civitai_gallery, state],
88
- outputs=[search_civitai_result, search_civitai_desc, search_civitai_submit, search_civitai_query, search_civitai_gallery,
89
- search_civitai_result_checkbox, search_civitai_result_info, state],
90
  queue=False,
91
- show_api=False,
92
  )
93
- search_civitai_result.change(select_civitai_item, [search_civitai_result, state], [search_civitai_desc, search_civitai_json, state], queue=False, show_api=False)\
94
- .success(update_civitai_checkbox, [search_civitai_result], [search_civitai_result_checkbox], queue=True, show_api=False)
95
- search_civitai_result_checkbox.select(from_civitai_checkbox, [search_civitai_result_checkbox], [search_civitai_result], queue=False, show_api=False)
96
- search_civitai_add.click(add_civitai_item, [search_civitai_result, dl_url], [dl_url], queue=False, show_api=False)
97
- 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)
98
- search_civitai_gallery.select(update_civitai_selection, [search_civitai_result, state], [search_civitai_result], queue=False, show_api=False)
 
 
 
 
 
 
 
 
 
99
 
100
  demo.queue()
101
- demo.launch(ssr_mode=False, mcp_server=False)
 
1
+ import asyncio.base_events as _asyncio_base_events
2
+
3
+
4
+ def _patch_asyncio_event_loop_del():
5
+ original_del = getattr(_asyncio_base_events.BaseEventLoop, "__del__", None)
6
+ if original_del is None:
7
+ return
8
+ def patched_del(self):
9
+ try:
10
+ original_del(self)
11
+ except ValueError as e:
12
+ if "Invalid file descriptor" not in str(e):
13
+ raise
14
+ _asyncio_base_events.BaseEventLoop.__del__ = patched_del
15
+
16
+
17
+ _patch_asyncio_event_loop_del()
18
+
19
+ import os
20
  import gradio as gr
21
+ from civitai_to_hf import (
22
+ search_civitai,
23
+ download_civitai,
24
+ smoke_test_civitai,
25
+ add_civitai_item,
26
+ get_civitai_tag,
27
+ get_civitai_creator,
28
+ refresh_civitai_creators,
29
+ request_run_cancel,
30
+ from_civitai_dropdown,
31
+ update_civitai_selection,
32
+ from_civitai_checkbox,
33
+ select_civitai_all_item_fast,
34
+ load_more_civitai,
35
+ load_all_civitai,
36
+ refresh_civitai_key_status,
37
+ probe_civitai_api,
38
+ probe_civitai_green_api,
39
+ update_civitai_gallery_mode,
40
+ begin_probe_civitai,
41
+ begin_probe_civitai_green,
42
+ clear_retry_state,
43
+ CIVITAI_TYPE,
44
+ CIVITAI_BASEMODEL,
45
+ CIVITAI_SORT,
46
+ CIVITAI_PERIOD,
47
+ CIVITAI_FILETYPE,
48
+ uniq_urls,
49
+ )
50
+
51
+
52
+ def update_upload_target_note(upload_type: str):
53
+ note = "Bucket mode note: if the bucket does not exist, it will be created as private. The privacy checkbox is ignored for new buckets. Existing bucket visibility is kept as-is."
54
+ return gr.update(value=note, visible=(upload_type == "bucket"))
55
+
56
+
57
+ def use_remaining_urls(remaining_urls: str, current_urls: str):
58
+ next_urls = remaining_urls.strip() if remaining_urls and remaining_urls.strip() else current_urls
59
+ return gr.update(value=uniq_urls(next_urls) if next_urls else "")
60
+
61
+
62
+ def use_failed_urls(failed_urls: str, current_urls: str):
63
+ next_urls = failed_urls.strip() if failed_urls and failed_urls.strip() else current_urls
64
+ return gr.update(value=uniq_urls(next_urls) if next_urls else "")
65
+
66
+
67
+ CIVITAI_TAGS = get_civitai_tag()
68
+ CIVITAI_CREATORS = get_civitai_creator()
69
+
70
+ def env_flag(name: str) -> bool:
71
+ value = os.environ.get(name, "")
72
+ return value.strip().lower() in {"1", "true", "yes", "on", "y", "t"}
73
+
74
+
75
+ CIVITAI_HF_DEBUG = env_flag("CIVITAI_HF_DEBUG")
76
 
77
  css = """
78
  .title { font-size: 3em; align-items: center; text-align: center; }
79
  .info { align-items: center; text-align: center; }
80
  .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; }
81
+ #gallery img { aspect-ratio: 3 / 4; object-fit: cover; }
82
+ #gallery { min-height: 620px; }
83
+ #civitai-detail img { object-fit: contain; background: rgba(0, 0, 0, 0.15); }
84
  """
85
 
86
+ with gr.Blocks(fill_width=True, delete_cache=(60, 3600)) as demo:
87
  with gr.Column():
88
  gr.Markdown("# CivitAI to HF🤗 Downloader & Uploader", elem_classes="title")
89
+ state = gr.State(value={"civitai_search_preview_dir": "", "civitai_last_choices": [("", "")], "civitai_last_results": {}, "civitai_last_selects": [], "civitai_last_items": [], "civitai_visible_count": 0, "civitai_detail_url": "", "civitai_preview_cache": {}, "civitai_preview_fail_urls": [], "civitai_gallery_enabled": True})
90
+ session_state = gr.State(value={})
91
  with gr.Accordion("Search Civitai", open=True):
92
  with gr.Row():
93
+ search_civitai_type = gr.Dropdown(label="Type", choices=CIVITAI_TYPE, value=["LORA"], multiselect=True)
94
+ search_civitai_sort = gr.Dropdown(label="Sort", choices=CIVITAI_SORT, value=CIVITAI_SORT[0])
95
+ search_civitai_period = gr.Dropdown(label="Period", choices=CIVITAI_PERIOD, value="Month")
96
  with gr.Accordion("Advanced", open=False):
97
  search_civitai_basemodel = gr.CheckboxGroup(label="Base Model", choices=CIVITAI_BASEMODEL, value=[])
98
  with gr.Row():
 
101
  search_civitai_page = gr.Number(label="Page", info="If 0, retrieve all pages", minimum=0, maximum=10, step=1, value=1)
102
  with gr.Row(equal_height=True):
103
  search_civitai_query = gr.Textbox(label="Query", placeholder="flux", lines=1)
104
+ search_civitai_tag = gr.Dropdown(label="Tag", choices=CIVITAI_TAGS, value=CIVITAI_TAGS[0], allow_custom_value=True)
105
+ search_civitai_user = gr.Dropdown(label="Username", choices=CIVITAI_CREATORS, value="", allow_custom_value=True)
106
  search_civitai_submit = gr.Button("Search on Civitai")
107
  with gr.Accordion("Results", open=True):
108
+ with gr.Row(equal_height=False):
109
+ with gr.Column(scale=8):
110
+ with gr.Row():
111
+ search_civitai_page_label = gr.Markdown("Showing 0/0", elem_classes="info")
112
+ search_civitai_gallery_enabled = gr.Checkbox(label="Gallery", value=True)
113
+ search_civitai_load_more = gr.Button("Load More", variant="secondary", size="sm")
114
+ search_civitai_load_all = gr.Button("Load All", variant="secondary", size="sm")
115
+ search_civitai_gallery = gr.Gallery([], label="Results", allow_preview=False, columns=4, height=620, object_fit="cover", format="webp", elem_id="gallery", buttons=[], interactive=False)
116
+ search_civitai_result_info = gr.Markdown("Search result.", elem_classes="info")
117
+ with gr.Column(scale=5):
118
+ search_civitai_detail_image = gr.Image(label="Selected Preview", value=None, height=520, elem_id="civitai-detail", interactive=False, visible=False, format="webp")
119
+ search_civitai_desc = gr.Markdown(value="", visible=False, elem_classes="desc")
120
+ search_civitai_json = gr.JSON(value={}, visible=False)
121
  with gr.Row(equal_height=True):
122
  with gr.Column(scale=9):
 
 
123
  with gr.Accordion("Select by Checkbox", open=False):
124
+ search_civitai_result_checkbox = gr.CheckboxGroup(label="All Results", choices=[], value=[])
125
+ search_civitai_result = gr.Dropdown(label="Selected Results", choices=[("", "")], value=[], allow_custom_value=True, visible=True, multiselect=True)
 
 
126
  with gr.Column(scale=1):
127
  search_civitai_add = gr.Button("Add to download URLs")
128
  search_civitai_select_all = gr.Button("Select All", variant="secondary", size="sm")
129
+ with gr.Accordion("Civitai", open=True):
130
  dl_url = gr.Textbox(label="Download URL(s)", placeholder="https://civitai.com/api/download/models/28907\n...", value="", lines=3, max_lines=255)
131
  with gr.Column():
132
+ civitai_key = gr.Textbox(label="Your Civitai Key(s)", value="", lines=2, max_lines=4)
133
+ civitai_key_status = gr.Markdown(value=refresh_civitai_key_status(""), elem_classes="info")
134
+ gr.Markdown("Your Civitai API key is available at [https://civitai.com/user/account](https://civitai.com/user/account). You can enter multiple keys separated by newline, comma, or space.", elem_classes="info")
135
+ with gr.Accordion("Hugging Face", open=True):
136
  with gr.Row():
137
  with gr.Column():
138
  hf_token = gr.Textbox(label="Your HF write token", placeholder="hf_...", value="", max_lines=1)
139
  gr.Markdown("Your token is available at [hf.co/settings/tokens](https://huggingface.co/settings/tokens).", elem_classes="info")
140
  newrepo_id = gr.Textbox(label="Upload repo ID", placeholder="yourid/yourrepo", value="", max_lines=1)
141
  with gr.Row():
142
+ newrepo_type = gr.Radio(label="Upload repo type", choices=["model", "dataset", "bucket"], value="model")
143
  is_private = gr.Checkbox(label="Create private repo", value=True)
144
  is_info = gr.Checkbox(label="Upload Civitai information files", value=False)
145
  is_rename = gr.Checkbox(label="Auto rename", value=True)
146
+ bucket_mode_note = gr.Markdown(value="", visible=False, elem_classes="info")
147
  with gr.Row():
148
  run_button = gr.Button(value="Download and Upload", variant="primary")
149
  stop_button = gr.Button(value="Cancel", variant="stop")
150
+ with gr.Accordion("Results", open=True):
151
+ uploaded_urls = gr.CheckboxGroup(visible=False, choices=[], value=None)
152
+ urls_md = gr.Markdown("<br><br>", elem_classes="result")
153
+ with gr.Row():
154
+ urls_remain = gr.Textbox(label="Remaining URLs", value="", buttons=["copy"], visible=False, scale=6)
155
+ urls_failed = gr.Textbox(label="Failed URLs", value="", buttons=["copy"], visible=False, scale=6)
156
+ with gr.Row():
157
+ use_remaining_button = gr.Button(value="Use Remaining URLs", visible=True, variant="secondary")
158
+ use_failed_button = gr.Button(value="Retry Failed Only", visible=True, variant="secondary")
159
+ clear_remaining_button = gr.Button(value="Clear Remaining", visible=True, variant="secondary")
160
+ with gr.Accordion("Probe / Experimental", open=False, visible=CIVITAI_HF_DEBUG):
161
+ probe_md = gr.Markdown(value="", visible=False)
162
+ with gr.Row():
163
+ smoke_test_button = gr.Button(value="Smoke Test", variant="secondary")
164
+ probe_button = gr.Button("Probe Civitai", variant="secondary")
165
+ probe_green_button = gr.Button("Probe civitai.green", variant="secondary")
166
+ gr.DuplicateButton(value="Duplicate Space")
167
+
168
+ heavy_outputs = [uploaded_urls, urls_md, urls_remain, urls_failed, civitai_key_status, session_state]
169
+ search_outputs = [search_civitai_select_all, search_civitai_result, search_civitai_desc, search_civitai_json, search_civitai_gallery,
170
+ search_civitai_result_checkbox, search_civitai_result_info, search_civitai_page_label,
171
+ search_civitai_detail_image, civitai_key_status, state]
172
 
173
  download_evt = gr.on(
174
  triggers=[run_button.click],
175
  fn=download_civitai,
176
+ inputs=[dl_url, civitai_key, hf_token, uploaded_urls, newrepo_id, newrepo_type, is_private, is_info, is_rename, session_state],
177
+ outputs=heavy_outputs,
178
+ queue=True,
179
+ concurrency_limit=1,
180
+ concurrency_id="heavy-run",
181
+ )
182
+ smoke_evt = gr.on(
183
+ triggers=[smoke_test_button.click],
184
+ fn=smoke_test_civitai,
185
+ inputs=[civitai_key, hf_token, uploaded_urls, newrepo_type, is_private, is_info, is_rename, session_state],
186
+ outputs=heavy_outputs,
187
  queue=True,
188
+ api_visibility="undocumented",
189
+ concurrency_limit=1,
190
+ concurrency_id="heavy-run",
191
  )
192
+ stop_button.click(request_run_cancel, [session_state], [session_state], queue=False, api_visibility="undocumented")
193
+ stop_button.click(fn=None, cancels=[download_evt, smoke_evt], queue=False, api_visibility="undocumented")
194
+ use_remaining_button.click(use_remaining_urls, [urls_remain, dl_url], [dl_url], queue=False, api_visibility="undocumented")
195
+ use_failed_button.click(use_failed_urls, [urls_failed, dl_url], [dl_url], queue=False, api_visibility="undocumented")
196
+ clear_remaining_button.click(clear_retry_state, [session_state], [urls_remain, urls_failed, session_state], queue=False, api_visibility="undocumented")
197
+
198
  gr.on(
199
+ triggers=[search_civitai_submit.click, search_civitai_query.submit],
200
  fn=search_civitai,
201
  inputs=[search_civitai_query, search_civitai_type, search_civitai_basemodel, search_civitai_sort,
202
  search_civitai_period, search_civitai_tag, search_civitai_user, search_civitai_limit,
203
+ search_civitai_page, search_civitai_filetype, civitai_key, state],
204
+ outputs=search_outputs,
 
205
  queue=False,
206
+ api_visibility="undocumented",
207
  )
208
+ search_civitai_load_more.click(load_more_civitai, [state, civitai_key], search_outputs, queue=False, api_visibility="undocumented")
209
+ search_civitai_load_all.click(load_all_civitai, [state, civitai_key], search_outputs, queue=True, api_visibility="undocumented")
210
+ search_civitai_result.input(from_civitai_dropdown, [search_civitai_result, civitai_key, state], search_outputs, queue=False, api_visibility="undocumented")
211
+ search_civitai_result_checkbox.input(from_civitai_checkbox, [search_civitai_result_checkbox, civitai_key, state], search_outputs, queue=False, api_visibility="undocumented")
212
+ search_civitai_add.click(add_civitai_item, [search_civitai_result, dl_url], [dl_url], queue=False, api_visibility="undocumented")
213
+ newrepo_type.input(update_upload_target_note, [newrepo_type], [bucket_mode_note], queue=False, api_visibility="undocumented")
214
+ search_civitai_select_all.click(select_civitai_all_item_fast, [search_civitai_select_all, civitai_key, state], search_outputs, queue=False, api_visibility="undocumented")
215
+ search_civitai_gallery.select(update_civitai_selection, [search_civitai_result, civitai_key, state], search_outputs, queue=False, api_visibility="undocumented")
216
+ search_civitai_gallery_enabled.change(update_civitai_gallery_mode, [search_civitai_gallery_enabled, civitai_key, state], search_outputs, queue=False, api_visibility="undocumented")
217
+ search_civitai_user.focus(refresh_civitai_creators, [search_civitai_user, civitai_key], [search_civitai_user], queue=False, api_visibility="undocumented")
218
+ search_civitai_user.change(refresh_civitai_creators, [search_civitai_user, civitai_key], [search_civitai_user], queue=False, api_visibility="undocumented")
219
+ civitai_key.change(refresh_civitai_key_status, [civitai_key], [civitai_key_status], queue=False, api_visibility="undocumented")
220
+ probe_button.click(begin_probe_civitai, [], [probe_md], queue=False, api_visibility="undocumented").then(probe_civitai_api, [search_civitai_query, civitai_key], [probe_md, civitai_key_status], queue=False, api_visibility="undocumented")
221
+ probe_green_button.click(begin_probe_civitai_green, [], [probe_md], queue=False, api_visibility="undocumented").then(probe_civitai_green_api, [search_civitai_query, civitai_key], [probe_md, civitai_key_status], queue=False, api_visibility="undocumented")
222
+
223
 
224
  demo.queue()
225
+ demo.launch(theme="NoCrypt/miku@>=1.2.2", css=css, ssr_mode=False, mcp_server=False)
bucket_ops.py ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import os
2
+ from pathlib import Path
3
+ import importlib
4
+ from utils import retry_call
5
+
6
+
7
+ BUCKET_CREATE_PRIVATE_DEFAULT = True
8
+
9
+
10
+ def _get_bucket_api_module():
11
+ hh = importlib.import_module("huggingface_hub")
12
+ required = ["create_bucket", "list_bucket_tree", "batch_bucket_files"]
13
+ missing = [name for name in required if not hasattr(hh, name)]
14
+ if missing:
15
+ raise RuntimeError(f"Bucket API is unavailable in current huggingface_hub build. Missing: {', '.join(missing)}")
16
+ return hh
17
+
18
+
19
+ def is_bucket_api_available():
20
+ try:
21
+ _get_bucket_api_module()
22
+ return True
23
+ except Exception:
24
+ return False
25
+
26
+
27
+ def get_bucket_url(bucket_id: str):
28
+ return f"https://huggingface.co/buckets/{bucket_id}"
29
+
30
+
31
+ def get_bucket_handle(bucket_id: str, remote_path: str = ""):
32
+ bucket_id = str(bucket_id).strip().strip("/")
33
+ remote_path = str(remote_path).strip().strip("/")
34
+ return f"hf://buckets/{bucket_id}/{remote_path}" if remote_path else f"hf://buckets/{bucket_id}"
35
+
36
+
37
+ def ensure_bucket(bucket_id: str, hf_token: str, private: bool = BUCKET_CREATE_PRIVATE_DEFAULT):
38
+ hh = _get_bucket_api_module()
39
+ create_bucket = getattr(hh, "create_bucket")
40
+ bucket_info = getattr(hh, "bucket_info")
41
+ retry_call(
42
+ lambda: create_bucket(bucket_id, private=private, exist_ok=True, token=hf_token),
43
+ action=f"create_bucket {bucket_id}",
44
+ )
45
+ return retry_call(
46
+ lambda: bucket_info(bucket_id, token=hf_token),
47
+ action=f"bucket_info {bucket_id}",
48
+ )
49
+
50
+
51
+ def get_bucket_file_info(bucket_id: str, remote_path: str, hf_token: str):
52
+ hh = _get_bucket_api_module()
53
+ list_bucket_tree = getattr(hh, "list_bucket_tree")
54
+
55
+ def _list():
56
+ return list(list_bucket_tree(bucket_id, prefix=remote_path, recursive=True, token=hf_token))
57
+
58
+ items = retry_call(_list, action=f"list_bucket_tree {bucket_id}:{remote_path}")
59
+ for item in items:
60
+ if getattr(item, "type", "") == "file" and getattr(item, "path", "") == remote_path:
61
+ return item
62
+ return None
63
+
64
+
65
+ def bucket_file_exists(bucket_id: str, remote_path: str, hf_token: str):
66
+ return get_bucket_file_info(bucket_id, remote_path, hf_token) is not None
67
+
68
+
69
+ def get_safe_bucket_filename(filename: str, bucket_id: str, hf_token: str):
70
+ ensure_bucket(bucket_id=bucket_id, hf_token=hf_token, private=BUCKET_CREATE_PRIVATE_DEFAULT)
71
+ path = Path(filename)
72
+ remote_name = path.name
73
+ existing = get_bucket_file_info(bucket_id, remote_name, hf_token)
74
+ if existing is None:
75
+ return filename
76
+ try:
77
+ remote_size = getattr(existing, "size", None)
78
+ local_size = os.path.getsize(filename)
79
+ if remote_size is not None and int(remote_size) == int(local_size):
80
+ print(f"{remote_name} already exists in bucket with same size. keeping original name for skip check.")
81
+ return filename
82
+ except Exception:
83
+ pass
84
+ i = 1
85
+ while True:
86
+ candidate = str(Path(path.parent, f"{path.stem}_{i}{path.suffix}"))
87
+ if get_bucket_file_info(bucket_id, Path(candidate).name, hf_token) is None:
88
+ print(f"{path.name} is already exists in bucket but file size is different. renaming to {Path(candidate).name}.")
89
+ Path(filename).rename(candidate)
90
+ return candidate
91
+ i += 1
92
+
93
+
94
+ def upload_file_to_bucket(local_path: str, bucket_id: str, hf_token: str, remote_path: str = "", private: bool = BUCKET_CREATE_PRIVATE_DEFAULT):
95
+ hh = _get_bucket_api_module()
96
+ batch_bucket_files = getattr(hh, "batch_bucket_files")
97
+ remote_path = remote_path or Path(local_path).name
98
+ ensure_bucket(bucket_id=bucket_id, hf_token=hf_token, private=private)
99
+ if bucket_file_exists(bucket_id, remote_path, hf_token):
100
+ print(f"{remote_path} already exists in bucket. skipping.")
101
+ return get_bucket_handle(bucket_id, remote_path), "skipped"
102
+ retry_call(
103
+ lambda: batch_bucket_files(bucket_id, add=[(str(local_path), remote_path)], token=hf_token),
104
+ action=f"batch_bucket_files {bucket_id}:{remote_path}",
105
+ )
106
+ if not bucket_file_exists(bucket_id, remote_path, hf_token):
107
+ raise RuntimeError(f"Bucket verify failed for {bucket_id}:{remote_path}")
108
+ return get_bucket_handle(bucket_id, remote_path), "uploaded"
civitai_to_hf.py CHANGED
The diff for this file is too large to render. See raw diff
 
packages.txt CHANGED
@@ -1 +1,3 @@
1
- git-lfs aria2
 
 
 
1
+ git-lfs
2
+ aria2
3
+ ffmpeg
requirements.txt CHANGED
@@ -1,5 +1,5 @@
1
  huggingface-hub
2
  gdown
3
  hf_xet
4
- hf_transfer
5
- pydantic==2.10.6
 
1
  huggingface-hub
2
  gdown
3
  hf_xet
4
+ #hf_transfer
5
+ #pydantic==2.10.6
utils.py CHANGED
@@ -1,5 +1,11 @@
1
  import gradio as gr
2
- from huggingface_hub import HfApi, HfFolder, hf_hub_download, snapshot_download
 
 
 
 
 
 
3
  import os
4
  from pathlib import Path
5
  import shutil
@@ -7,23 +13,104 @@ import gc
7
  import re
8
  import urllib.parse
9
  import subprocess
 
 
 
 
10
  import time
11
  from typing import Any
 
 
12
 
13
 
14
- def get_token():
 
 
 
 
 
15
  try:
16
- token = HfFolder.get_token()
17
  except Exception:
18
- token = False
19
- return token
20
-
21
-
22
- def set_token(token):
 
23
  try:
24
- HfFolder.save_token(token)
25
- except Exception:
26
- print(f"Error: Failed to save token.")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
27
 
28
 
29
  def get_state(state: dict, key: str):
@@ -37,21 +124,198 @@ def set_state(state: dict, key: str, value: Any):
37
  state[key] = value
38
 
39
 
40
- def get_user_agent():
41
- return 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:127.0) Gecko/20100101 Firefox/127.0'
42
-
43
-
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
44
  def is_repo_exists(repo_id: str, repo_type: str="model"):
45
  hf_token = get_token()
46
  api = HfApi(token=hf_token)
47
  try:
48
- if api.repo_exists(repo_id=repo_id, repo_type=repo_type, token=hf_token): return True
49
  else: return False
50
  except Exception as e:
51
  print(f"Error: Failed to connect {repo_id} ({repo_type}). {e}")
52
  return True # for safe
53
 
54
 
 
 
 
 
 
 
 
 
55
  MODEL_TYPE_CLASS = {
56
  "diffusers:StableDiffusionPipeline": "SD 1.5",
57
  "diffusers:StableDiffusionXLPipeline": "SDXL",
@@ -66,9 +330,9 @@ def get_model_type(repo_id: str):
66
  diffusers_filename = "model_index.json"
67
  default = "SDXL"
68
  try:
69
- if api.file_exists(repo_id=repo_id, filename=lora_filename, token=hf_token): return "LoRA"
70
- if not api.file_exists(repo_id=repo_id, filename=diffusers_filename, token=hf_token): return "None"
71
- model = api.model_info(repo_id=repo_id, token=hf_token)
72
  tags = model.tags
73
  for tag in tags:
74
  if tag in MODEL_TYPE_CLASS.keys(): return MODEL_TYPE_CLASS.get(tag, default)
@@ -111,42 +375,89 @@ def split_hf_url(url: str):
111
  print(e)
112
 
113
 
114
- def download_hf_file(directory, url, progress=gr.Progress(track_tqdm=True)):
115
- hf_token = get_token()
116
- repo_id, filename, subfolder, repo_type = split_hf_url(url)
117
- try:
118
- print(f"Downloading {url} to {directory}")
119
- 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)
120
- else: path = hf_hub_download(repo_id=repo_id, filename=filename, repo_type=repo_type, local_dir=directory, token=hf_token)
121
- return path
122
- except Exception as e:
123
- print(f"Failed to download: {e}")
124
- return None
125
-
126
-
127
- def download_thing(directory, url, civitai_api_key="", progress=gr.Progress(track_tqdm=True)): # requires aria2, gdown
128
- try:
129
- url = url.strip()
130
- if "drive.google.com" in url:
131
- original_dir = os.getcwd()
132
- os.chdir(directory)
133
- subprocess.run(f"gdown --fuzzy {url}", shell=True)
134
- os.chdir(original_dir)
135
- elif "huggingface.co" in url:
136
- url = url.replace("?download=true", "")
137
- if "/blob/" in url: url = url.replace("/blob/", "/resolve/")
138
- download_hf_file(directory, url)
139
- elif "civitai.com" in url:
140
- if civitai_api_key:
141
- url = f"'{url}&token={civitai_api_key}'" if "?" in url else f"{url}?token={civitai_api_key}"
142
- print(f"Downloading {url}")
143
- subprocess.run(f"aria2c --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 -d {directory} {url}", shell=True)
144
- else:
145
- print("You need an API key to download Civitai models.")
146
- else:
147
- os.system(f"aria2c --console-log-level=error --summary-interval=10 -c -x 16 -k 1M -s 16 -d {directory} {url}")
148
- except Exception as e:
149
- print(f"Failed to download: {e}")
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
150
 
151
 
152
  def get_local_file_list(dir_path, recursive=False):
@@ -168,7 +479,7 @@ def get_download_file(temp_dir, url, civitai_key, progress=gr.Progress(track_tqd
168
  print(f"Use local file: {url}")
169
  new_file = url
170
  elif Path(f"{temp_dir}/{url.split('/')[-1]}").exists():
171
- print(f"File to download alreday exists: {url}")
172
  new_file = f"{temp_dir}/{url.split('/')[-1]}"
173
  elif "huggingface.co" in url:
174
  url = url.replace("?download=true", "")
@@ -184,18 +495,21 @@ def get_download_file(temp_dir, url, civitai_key, progress=gr.Progress(track_tqd
184
  if not new_file:
185
  print(f"Download failed: {url}")
186
  return ""
187
- print(f"Download completed: {url}")
188
  return new_file
189
  except Exception as e:
190
- print(f"Download failed: {url} {e}")
191
  return ""
192
 
193
 
194
  def download_repo(repo_id: str, dir_path: str, progress=gr.Progress(track_tqdm=True)): # for diffusers repo
195
  hf_token = get_token()
196
  try:
197
- snapshot_download(repo_id=repo_id, local_dir=dir_path, token=hf_token, allow_patterns=["*.safetensors", "*.bin"],
198
- ignore_patterns=["*.fp16.*", "/*.safetensors", "/*.bin"], force_download=True)
 
 
 
199
  return True
200
  except Exception as e:
201
  print(f"Error: Failed to download {repo_id}. {e}")
@@ -208,8 +522,8 @@ def upload_repo(repo_id: str, dir_path: str, is_private: bool, is_pr: bool=False
208
  api = HfApi(token=hf_token)
209
  try:
210
  progress(0, desc="Start uploading...")
211
- api.create_repo(repo_id=repo_id, token=hf_token, private=is_private, exist_ok=True)
212
- api.upload_folder(repo_id=repo_id, folder_path=dir_path, path_in_repo="", create_pr=is_pr, token=hf_token)
213
  progress(1, desc="Uploaded.")
214
  return get_hf_url(repo_id, "model")
215
  except Exception as e:
@@ -240,16 +554,16 @@ def duplicate_hf_repo(src_repo: str, dst_repo: str, src_repo_type: str, dst_repo
240
  if subfolder_type == "user_repo": subfolder = src_repo.replace("/", "_")
241
  else: subfolder = ""
242
  progress(0, desc="Start duplicating...")
243
- api.create_repo(repo_id=dst_repo, repo_type=dst_repo_type, private=is_private, exist_ok=True, token=hf_token)
244
- for path in api.list_repo_files(repo_id=src_repo, repo_type=src_repo_type, token=hf_token):
245
- file = hf_hub_download(repo_id=src_repo, filename=path, repo_type=src_repo_type, token=hf_token)
246
  if not Path(file).exists(): continue
247
  if Path(file).is_dir(): # unused for now
248
- api.upload_folder(repo_id=dst_repo, folder_path=file, path_in_repo=f"{subfolder}/{path}" if subfolder else path,
249
- repo_type=dst_repo_type, token=hf_token)
250
  elif Path(file).is_file():
251
- api.upload_file(repo_id=dst_repo, path_or_fileobj=file, path_in_repo=f"{subfolder}/{path}" if subfolder else path,
252
- repo_type=dst_repo_type, token=hf_token)
253
  if Path(file).exists(): Path(file).unlink()
254
  progress(1, desc="Duplicated.")
255
  return f"{get_hf_url(dst_repo, dst_repo_type)}/tree/main/{subfolder}" if subfolder else get_hf_url(dst_repo, dst_repo_type)
@@ -276,7 +590,7 @@ def git_clone(url: str, path: str, pip: bool=False, addcmd: str=""): # requires
276
  i = subprocess.run(cmd, shell=True).returncode
277
  if i != 0: print(f'Error occured at running {cmd}')
278
  p = url.split("/")[-1]
279
- if not Path(p).exists: return
280
  if pip:
281
  os.chdir(Path(BASE_DIR, path, p))
282
  cmd = f'pip install -r requirements.txt'
 
1
  import gradio as gr
2
+ from huggingface_hub import HfApi, hf_hub_download, snapshot_download
3
+ try:
4
+ from huggingface_hub.utils import disable_progress_bars as hf_disable_progress_bars, enable_progress_bars as hf_enable_progress_bars, are_progress_bars_disabled as hf_are_progress_bars_disabled
5
+ except Exception:
6
+ hf_disable_progress_bars = None
7
+ hf_enable_progress_bars = None
8
+ hf_are_progress_bars_disabled = None
9
  import os
10
  from pathlib import Path
11
  import shutil
 
13
  import re
14
  import urllib.parse
15
  import subprocess
16
+ import random
17
+ import requests
18
+ from requests.adapters import HTTPAdapter
19
+ from urllib3.util import Retry
20
  import time
21
  from typing import Any
22
+ from contextvars import ContextVar
23
+ from contextlib import contextmanager
24
 
25
 
26
+ @contextmanager
27
+ def suppress_hf_hub_progress_bars():
28
+ if hf_disable_progress_bars is None or hf_enable_progress_bars is None:
29
+ yield
30
+ return
31
+ was_disabled = False
32
  try:
33
+ was_disabled = bool(hf_are_progress_bars_disabled()) if hf_are_progress_bars_disabled is not None else False
34
  except Exception:
35
+ was_disabled = False
36
+ if not was_disabled:
37
+ try:
38
+ hf_disable_progress_bars()
39
+ except Exception:
40
+ pass
41
  try:
42
+ yield
43
+ finally:
44
+ if not was_disabled:
45
+ try:
46
+ hf_enable_progress_bars()
47
+ except Exception:
48
+ pass
49
+
50
+
51
+ CIVITAI_KEY_SWITCH_STATUS_CODES = frozenset([401, 403, 429])
52
+
53
+
54
+ HF_FOLDER_TOKEN = os.getenv("HF_TOKEN", False) or False
55
+ HF_FOLDER_TOKEN_CONTEXT = ContextVar("hf_folder_token", default=False)
56
+ CIVITAI_KEY_STATUS_CONTEXT = ContextVar("civitai_key_status", default={})
57
+
58
+
59
+ def reset_civitai_key_status(raw_keys: Any=None, source: str=""):
60
+ count = len(parse_civitai_api_keys(raw_keys)) if raw_keys not in [None, "", False] else 0
61
+ status = {"count": count, "active_index": 1 if count else 0, "last_switch_reason": "", "last_status": "", "source": source}
62
+ CIVITAI_KEY_STATUS_CONTEXT.set(status)
63
+ return dict(status)
64
+
65
+
66
+ def update_civitai_key_status(*, raw: Any=None, count: int | None=None, active_index: int | None=None, last_switch_reason: str | None=None, last_status: str | None=None, source: str | None=None):
67
+ status = dict(CIVITAI_KEY_STATUS_CONTEXT.get() or {})
68
+ if raw is not None:
69
+ status["count"] = len(parse_civitai_api_keys(raw))
70
+ if count is not None:
71
+ status["count"] = int(count)
72
+ if active_index is not None:
73
+ status["active_index"] = int(active_index)
74
+ if last_switch_reason is not None:
75
+ status["last_switch_reason"] = str(last_switch_reason)
76
+ if last_status is not None:
77
+ status["last_status"] = str(last_status)
78
+ if source is not None:
79
+ status["source"] = str(source)
80
+ CIVITAI_KEY_STATUS_CONTEXT.set(status)
81
+ return dict(status)
82
+
83
+
84
+ def get_civitai_key_status(raw_keys: Any=None):
85
+ status = dict(CIVITAI_KEY_STATUS_CONTEXT.get() or {})
86
+ if raw_keys is not None:
87
+ status["count"] = len(parse_civitai_api_keys(raw_keys))
88
+ count = int(status.get("count") or 0)
89
+ if count == 0:
90
+ status["active_index"] = 0
91
+ elif int(status.get("active_index") or 0) <= 0:
92
+ status["active_index"] = 1
93
+ return status
94
+
95
+
96
+ def get_token(session_state=None):
97
+ if isinstance(session_state, dict):
98
+ token = session_state.get("hf_token", False)
99
+ if token not in [None, "", False]:
100
+ return token
101
+ token = HF_FOLDER_TOKEN_CONTEXT.get()
102
+ if token not in [None, "", False]:
103
+ return token
104
+ env_token = os.getenv("HF_TOKEN", False) or HF_FOLDER_TOKEN
105
+ return env_token if env_token not in [None, "", False] else False
106
+
107
+
108
+ def set_token(token, session_state=None):
109
+ normalized = token if token else False
110
+ HF_FOLDER_TOKEN_CONTEXT.set(normalized)
111
+ if isinstance(session_state, dict):
112
+ session_state["hf_token"] = normalized
113
+ return normalized
114
 
115
 
116
  def get_state(state: dict, key: str):
 
124
  state[key] = value
125
 
126
 
127
+ def get_user_agent():
128
+ return 'Mozilla/5.0 (Windows NT 10.0; Win64; x64; rv:127.0) Gecko/20100101 Firefox/127.0'
129
+
130
+ CIVITAI_REFERER = 'https://civitai.com/'
131
+ RETRYABLE_STATUS_CODES = frozenset([408, 409, 425, 429, 500, 502, 503, 504])
132
+ ARIA2_CIVITAI_OPTIONS = [
133
+ "--console-log-level=notice",
134
+ "--log-level=notice",
135
+ "--summary-interval=0",
136
+ "--stderr=true",
137
+ "--log=-",
138
+ "--check-certificate=true",
139
+ "--connect-timeout=15",
140
+ "--timeout=60",
141
+ "--max-tries=1",
142
+ "-c",
143
+ "-x", "1",
144
+ "-s", "1",
145
+ "-k", "20M",
146
+ ]
147
+ ARIA2_GENERIC_OPTIONS = [
148
+ "--console-log-level=error",
149
+ "--summary-interval=10",
150
+ "-c",
151
+ "-x", "16",
152
+ "-k", "1M",
153
+ "-s", "16",
154
+ ]
155
+
156
+
157
+ def build_retry(total: int = 5, backoff_factor: float = 1.0, status_forcelist=RETRYABLE_STATUS_CODES):
158
+ kwargs = {
159
+ 'total': total,
160
+ 'connect': total,
161
+ 'read': total,
162
+ 'status': total,
163
+ 'backoff_factor': backoff_factor,
164
+ 'status_forcelist': status_forcelist,
165
+ 'respect_retry_after_header': True,
166
+ 'raise_on_status': False,
167
+ }
168
+ try:
169
+ return Retry(allowed_methods=frozenset(['HEAD', 'GET', 'OPTIONS']), **kwargs)
170
+ except TypeError:
171
+ return Retry(method_whitelist=frozenset(['HEAD', 'GET', 'OPTIONS']), **kwargs)
172
+
173
+
174
+ def create_retry_session(total: int = 5, backoff_factor: float = 1.0):
175
+ session = requests.Session()
176
+ adapter = HTTPAdapter(max_retries=build_retry(total=total, backoff_factor=backoff_factor))
177
+ session.mount('https://', adapter)
178
+ session.mount('http://', adapter)
179
+ return session
180
+
181
+
182
+ def is_retryable_exception(exc: Exception):
183
+ msg = f"{type(exc).__name__}: {exc}".lower()
184
+ tokens = [
185
+ '429', '408', '425', '500', '502', '503', '504',
186
+ 'timed out', 'timeout', 'connection', 'temporarily unavailable',
187
+ 'remote end closed', 'reset by peer', 'server error', 'service unavailable',
188
+ 'gateway timeout', 'too many requests', 'network',
189
+ ]
190
+ return any(token in msg for token in tokens)
191
+
192
+
193
+ def format_error_short(exc: Exception):
194
+ return f"{type(exc).__name__}: {exc}"
195
+
196
+
197
+ def parse_civitai_api_keys(raw: Any):
198
+ if raw is None: return []
199
+ if isinstance(raw, (list, tuple, set)):
200
+ parts = []
201
+ for item in raw:
202
+ parts.extend(re.split(r'[\s,;]+', str(item or '')))
203
+ else:
204
+ parts = re.split(r'[\s,;]+', str(raw or ''))
205
+ keys = []
206
+ for part in parts:
207
+ key = str(part).strip()
208
+ if key and key not in keys:
209
+ keys.append(key)
210
+ return keys
211
+
212
+
213
+ def should_switch_civitai_key(status_code: int | None):
214
+ return status_code in CIVITAI_KEY_SWITCH_STATUS_CODES
215
+
216
+
217
+ def sanitize_url_for_log(url: str):
218
+ try:
219
+ parts = urllib.parse.urlsplit(url)
220
+ query = urllib.parse.parse_qsl(parts.query, keep_blank_values=True)
221
+ safe_query = []
222
+ for key, value in query:
223
+ if key.lower() in {"token", "authorization", "auth", "key", "api_key"}:
224
+ safe_query.append((key, "***"))
225
+ else:
226
+ safe_query.append((key, value))
227
+ return urllib.parse.urlunsplit((parts.scheme, parts.netloc, parts.path, urllib.parse.urlencode(safe_query), parts.fragment))
228
+ except Exception:
229
+ return url
230
+
231
+
232
+ def log_subprocess_tail(label: str, result: subprocess.CompletedProcess, success_tail: int = 1200, failure_tail: int = 4000):
233
+ tail = success_tail if result.returncode == 0 else failure_tail
234
+ if result.stdout:
235
+ print(f"{label} stdout:\n", result.stdout[-tail:])
236
+ if result.stderr:
237
+ print(f"{label} stderr:\n", result.stderr[-tail:])
238
+ print(f"{label} returncode:", result.returncode)
239
+
240
+
241
+ def retry_call(func, attempts: int = 4, base_wait: float = 1.0, action: str = 'operation'):
242
+ last_error = None
243
+ for attempt in range(1, attempts + 1):
244
+ try:
245
+ return func()
246
+ except Exception as e:
247
+ last_error = e
248
+ should_retry = is_retryable_exception(e) and attempt < attempts
249
+ if not should_retry:
250
+ print(f"[fail] action={action} error={format_error_short(e)}")
251
+ raise
252
+ delay = min(8.0, base_wait * (2 ** (attempt - 1))) + random.uniform(0.0, 0.3)
253
+ print(f"[retry] action={action} attempt={attempt}/{attempts} wait={round(delay, 2)}s error={format_error_short(e)}")
254
+ time.sleep(delay)
255
+ if last_error is not None:
256
+ raise last_error
257
+
258
+
259
+ def resolve_civitai_download_url(url: str, civitai_api_key: str, max_tries: int = 3):
260
+ user_agent = get_user_agent()
261
+ keys = parse_civitai_api_keys(civitai_api_key)
262
+ if not keys: keys = [""]
263
+ reset_civitai_key_status(civitai_api_key, source="resolve")
264
+ last_error = None
265
+ for key_index, key in enumerate(keys, start=1):
266
+ update_civitai_key_status(raw=civitai_api_key, active_index=key_index, source="resolve")
267
+ dl_url = f"{url}&token={key}" if "?" in url else f"{url}?token={key}"
268
+ headers = {"User-Agent": user_agent, "Referer": CIVITAI_REFERER}
269
+ allow_key_switch = True
270
+ for i in range(max_tries):
271
+ try:
272
+ r = create_retry_session(total=3, backoff_factor=1.0).get(dl_url, headers=headers, allow_redirects=False, stream=True, timeout=(10, 30))
273
+ status = r.status_code
274
+ location = r.headers.get("Location", "")
275
+ resolved_url = location or r.url
276
+ host = urllib.parse.urlparse(resolved_url).netloc
277
+ print(f"Civitai resolve attempt {i + 1} key {key_index}/{len(keys)}: status={status} host={host}")
278
+ update_civitai_key_status(raw=civitai_api_key, active_index=key_index, last_status=str(status), source="resolve")
279
+ if status in (301, 302, 303, 307, 308) and location:
280
+ r.close()
281
+ return resolved_url
282
+ if r.ok and resolved_url:
283
+ r.close()
284
+ return resolved_url
285
+ last_error = RuntimeError(f"Failed to resolve Civitai download URL. status={status}")
286
+ allow_key_switch = should_switch_civitai_key(status)
287
+ r.close()
288
+ if allow_key_switch and key_index < len(keys):
289
+ print(f"Switching Civitai key {key_index}/{len(keys)} after resolve status={status}")
290
+ update_civitai_key_status(raw=civitai_api_key, active_index=min(key_index + 1, len(keys)), last_switch_reason=f"resolve status={status}", last_status=str(status), source="resolve")
291
+ break
292
+ except Exception as e:
293
+ last_error = e
294
+ print(f"Civitai resolve attempt {i + 1} key {key_index}/{len(keys)} failed: {format_error_short(e)}")
295
+ if i + 1 < max_tries: time.sleep(2)
296
+ if last_error is None or not allow_key_switch:
297
+ break
298
+ raise last_error if last_error else RuntimeError("Failed to resolve Civitai download URL.")
299
+
300
  def is_repo_exists(repo_id: str, repo_type: str="model"):
301
  hf_token = get_token()
302
  api = HfApi(token=hf_token)
303
  try:
304
+ if retry_call(lambda: api.repo_exists(repo_id=repo_id, repo_type=repo_type, token=hf_token), action=f'repo_exists {repo_id}'): return True
305
  else: return False
306
  except Exception as e:
307
  print(f"Error: Failed to connect {repo_id} ({repo_type}). {e}")
308
  return True # for safe
309
 
310
 
311
+ def ensure_repo(api: HfApi, repo_id: str, repo_type: str="model", is_private: bool=True, hf_token=None):
312
+ if hf_token is None: hf_token = get_token()
313
+ return retry_call(
314
+ lambda: api.create_repo(repo_id=repo_id, repo_type=repo_type, token=hf_token, private=is_private, exist_ok=True),
315
+ action=f'create_repo {repo_id}'
316
+ )
317
+
318
+
319
  MODEL_TYPE_CLASS = {
320
  "diffusers:StableDiffusionPipeline": "SD 1.5",
321
  "diffusers:StableDiffusionXLPipeline": "SDXL",
 
330
  diffusers_filename = "model_index.json"
331
  default = "SDXL"
332
  try:
333
+ if retry_call(lambda: api.file_exists(repo_id=repo_id, filename=lora_filename, token=hf_token), action=f'file_exists {repo_id}:{lora_filename}'): return "LoRA"
334
+ if not retry_call(lambda: api.file_exists(repo_id=repo_id, filename=diffusers_filename, token=hf_token), action=f'file_exists {repo_id}:{diffusers_filename}'): return "None"
335
+ model = retry_call(lambda: api.model_info(repo_id=repo_id, token=hf_token), action=f'model_info {repo_id}')
336
  tags = model.tags
337
  for tag in tags:
338
  if tag in MODEL_TYPE_CLASS.keys(): return MODEL_TYPE_CLASS.get(tag, default)
 
375
  print(e)
376
 
377
 
378
+ def download_hf_file(directory, url, progress=gr.Progress(track_tqdm=True)):
379
+ hf_token = get_token()
380
+ repo_id, filename, subfolder, repo_type = split_hf_url(url)
381
+ try:
382
+ print(f"Downloading {url} to {directory}")
383
+ if subfolder is not None:
384
+ path = retry_call(
385
+ lambda: hf_hub_download(repo_id=repo_id, filename=filename, subfolder=subfolder, repo_type=repo_type, local_dir=directory, token=hf_token),
386
+ action=f'hf_hub_download {repo_id}/{subfolder}/{filename}'
387
+ )
388
+ else:
389
+ path = retry_call(
390
+ lambda: hf_hub_download(repo_id=repo_id, filename=filename, repo_type=repo_type, local_dir=directory, token=hf_token),
391
+ action=f'hf_hub_download {repo_id}/{filename}'
392
+ )
393
+ return path
394
+ except Exception as e:
395
+ print(f"Failed to download HF file: {url} {e}")
396
+ return None
397
+
398
+
399
+ def download_thing(directory, url, civitai_api_key="", progress=gr.Progress(track_tqdm=True)): # requires aria2, gdown
400
+ try:
401
+ url = url.strip()
402
+ if "drive.google.com" in url:
403
+ original_dir = os.getcwd()
404
+ try:
405
+ os.chdir(directory)
406
+ subprocess.run(["gdown", "--fuzzy", url], check=False)
407
+ finally:
408
+ os.chdir(original_dir)
409
+ elif "huggingface.co" in url:
410
+ url = url.replace("?download=true", "")
411
+ if "/blob/" in url: url = url.replace("/blob/", "/resolve/")
412
+ download_hf_file(directory, url)
413
+ elif "civitai.com" in url:
414
+ keys = parse_civitai_api_keys(civitai_api_key)
415
+ if keys:
416
+ user_agent = get_user_agent()
417
+ last_error = None
418
+ success = False
419
+ for i in range(3):
420
+ for key_index, key in enumerate(keys, start=1):
421
+ try:
422
+ signed_url = resolve_civitai_download_url(url, key, max_tries=1 if len(keys) > 1 else 3)
423
+ except Exception as e:
424
+ last_error = e
425
+ if len(keys) > 1:
426
+ print(f"Switching Civitai key {key_index}/{len(keys)} after resolve failure: {format_error_short(e)}")
427
+ continue
428
+ signed_host = urllib.parse.urlparse(signed_url).netloc
429
+ print(f"Downloading {sanitize_url_for_log(url)} -> {signed_host} (key {key_index}/{len(keys)})")
430
+ cmd = [
431
+ "aria2c",
432
+ *ARIA2_CIVITAI_OPTIONS,
433
+ "--user-agent", user_agent,
434
+ "--referer", CIVITAI_REFERER,
435
+ "-d", directory,
436
+ signed_url,
437
+ ]
438
+ print("Running:", " ".join(cmd[:-1]), "[signed URL omitted]")
439
+ result = subprocess.run(cmd, capture_output=True, text=True)
440
+ log_subprocess_tail("aria2", result)
441
+ if result.returncode == 0:
442
+ last_error = None
443
+ success = True
444
+ break
445
+ last_error = RuntimeError(f"aria2c failed with rc={result.returncode} host={signed_host}")
446
+ if len(keys) > 1 and key_index < len(keys):
447
+ print(f"Switching Civitai key {key_index}/{len(keys)} after aria2 failure.")
448
+ if success:
449
+ break
450
+ if i + 1 < 3:
451
+ time.sleep(2)
452
+ if last_error is not None and not success:
453
+ raise last_error
454
+ else:
455
+ print("You need an API key to download Civitai models.")
456
+ else:
457
+ cmd = ["aria2c", *ARIA2_GENERIC_OPTIONS, "-d", directory, url]
458
+ subprocess.run(cmd, check=False)
459
+ except Exception as e:
460
+ print(f"Failed to download: {format_error_short(e)}")
461
 
462
 
463
  def get_local_file_list(dir_path, recursive=False):
 
479
  print(f"Use local file: {url}")
480
  new_file = url
481
  elif Path(f"{temp_dir}/{url.split('/')[-1]}").exists():
482
+ print(f"File to download already exists: {url}")
483
  new_file = f"{temp_dir}/{url.split('/')[-1]}"
484
  elif "huggingface.co" in url:
485
  url = url.replace("?download=true", "")
 
495
  if not new_file:
496
  print(f"Download failed: {url}")
497
  return ""
498
+ print(f"Download completed: {sanitize_url_for_log(url)}")
499
  return new_file
500
  except Exception as e:
501
+ print(f"Download failed: {sanitize_url_for_log(url)} {format_error_short(e)}")
502
  return ""
503
 
504
 
505
  def download_repo(repo_id: str, dir_path: str, progress=gr.Progress(track_tqdm=True)): # for diffusers repo
506
  hf_token = get_token()
507
  try:
508
+ retry_call(
509
+ lambda: snapshot_download(repo_id=repo_id, local_dir=dir_path, token=hf_token, allow_patterns=["*.safetensors", "*.bin"],
510
+ ignore_patterns=["*.fp16.*", "/*.safetensors", "/*.bin"], force_download=True),
511
+ action=f'snapshot_download {repo_id}'
512
+ )
513
  return True
514
  except Exception as e:
515
  print(f"Error: Failed to download {repo_id}. {e}")
 
522
  api = HfApi(token=hf_token)
523
  try:
524
  progress(0, desc="Start uploading...")
525
+ ensure_repo(api, repo_id=repo_id, repo_type='model', is_private=is_private, hf_token=hf_token)
526
+ retry_call(lambda: api.upload_folder(repo_id=repo_id, folder_path=dir_path, path_in_repo="", create_pr=is_pr, token=hf_token), action=f'upload_folder {repo_id}')
527
  progress(1, desc="Uploaded.")
528
  return get_hf_url(repo_id, "model")
529
  except Exception as e:
 
554
  if subfolder_type == "user_repo": subfolder = src_repo.replace("/", "_")
555
  else: subfolder = ""
556
  progress(0, desc="Start duplicating...")
557
+ ensure_repo(api, repo_id=dst_repo, repo_type=dst_repo_type, is_private=is_private, hf_token=hf_token)
558
+ for path in retry_call(lambda: api.list_repo_files(repo_id=src_repo, repo_type=src_repo_type, token=hf_token), action=f'list_repo_files {src_repo}'):
559
+ file = retry_call(lambda: hf_hub_download(repo_id=src_repo, filename=path, repo_type=src_repo_type, token=hf_token), action=f'hf_hub_download {src_repo}/{path}')
560
  if not Path(file).exists(): continue
561
  if Path(file).is_dir(): # unused for now
562
+ retry_call(lambda: api.upload_folder(repo_id=dst_repo, folder_path=file, path_in_repo=f"{subfolder}/{path}" if subfolder else path,
563
+ repo_type=dst_repo_type, token=hf_token), action=f'upload_folder {dst_repo}:{path}')
564
  elif Path(file).is_file():
565
+ retry_call(lambda: api.upload_file(repo_id=dst_repo, path_or_fileobj=file, path_in_repo=f"{subfolder}/{path}" if subfolder else path,
566
+ repo_type=dst_repo_type, token=hf_token), action=f'upload_file {dst_repo}:{path}')
567
  if Path(file).exists(): Path(file).unlink()
568
  progress(1, desc="Duplicated.")
569
  return f"{get_hf_url(dst_repo, dst_repo_type)}/tree/main/{subfolder}" if subfolder else get_hf_url(dst_repo, dst_repo_type)
 
590
  i = subprocess.run(cmd, shell=True).returncode
591
  if i != 0: print(f'Error occured at running {cmd}')
592
  p = url.split("/")[-1]
593
+ if not Path(p).exists(): return
594
  if pip:
595
  os.chdir(Path(BASE_DIR, path, p))
596
  cmd = f'pip install -r requirements.txt'