upload scripts

upload downloading script.
upload processing script.

download_civitai.py

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+import requests
+import json
+import time
+from tqdm.auto import tqdm
+
+proxies = {
+    'http': 'http://localhost:7890',
+    'https': 'http://localhost:7890'
+}
+
+headers = {'Content-Type': 'application/json'}
+
+url = 'https://civitai.com/api/v1/images'
+
+results = list()
+
+tbar = tqdm()
+
+wait_time = 2
+flag = True
+while flag:
+    
+    try:
+        # data = requests.get(url, proxies=proxies)
+        data = requests.get(url)
+        data = json.loads(data.content)
+        url = data['metadata'].get('nextPage')
+    except KeyboardInterrupt:
+        break
+    except:
+        wait_time = min(60, wait_time * 2)
+        time.sleep(wait_time)
+        continue
+    
+    if url == None: break
+
+    items = data['items']
+    # now do whatever you want with data
+            
+    wait_time = 2
+    time.sleep(wait_time)
+    results.extend(items)
+    tbar.update()
+
+with open('../dataset/scrap/civitai-2023-11-14.jsonl', 'wt') as f:
+    for i in tqdm(results):
+        f.write(json.dumps(i) + '\n')
+
+    

process_civitai.py

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+import json
+from tqdm.auto import tqdm
+
+items = list()
+
+hashs = set()
+
+with open('../dataset/scrap/civitai-2023-11-14.jsonl') as f:
+    for i, line in tqdm(enumerate(f)):
+        item = json.loads(line)
+        
+        if item['hash'] in hashs:
+            continue
+        hashs.add(item['hash'])
+        
+        if item['meta'] is None:
+            item['meta'] = {}
+        
+        prompt = item['meta'].get('prompt')
+        item['prompt'] = '' if prompt is None else prompt
+        
+        item['meta']['prompt'] = ''
+        del item['meta']['prompt']
+        
+        negativePrompt = item['meta'].get('negativePrompt')
+        item['negativePrompt'] = '' if negativePrompt is None else negativePrompt
+        
+        item['meta']['negativePrompt'] = ''
+        del item['meta']['negativePrompt']
+            
+        items.append(item)
+
+print(len(items))
+
+items = sorted(items, key=lambda x: x['createdAt'])
+
+with open('../dataset/scrap/civitai-2023-11-14-sorted.jsonl', 'wt') as f:
+    for i in tqdm(items):
+        f.write(json.dumps(i) + '\n')
+
+