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Update app.py
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app.py
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@@ -12,6 +12,9 @@ import io
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import base64
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import re
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from gradio_client import Client
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def flip_text(prompt, negative_prompt, task, steps, sampler, cfg_scale, seed):
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result = {"prompt": prompt,"negative_prompt": negative_prompt,"task": task,"steps": steps,"sampler": sampler,"cfg_scale": cfg_scale,"seed": seed}
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@@ -93,6 +96,64 @@ def flip_text(prompt, negative_prompt, task, steps, sampler, cfg_scale, seed):
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photo = photo.replace('data:image/jpeg;base64,', '').replace('data:image/png;base64,', '')
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photo = Image.open(io.BytesIO(base64.decodebytes(bytes(photo, "utf-8"))))
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return photo
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#data = {"inputs":f"{prompt}, 4k photo","options":{"negative_prompt":"[deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry","width":1024,"height":1024,"guidance_scale":7,"num_inference_steps":35}}
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#response = requests.post(f'{url_sd5}', json=data)
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#print(response.text)
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@@ -100,20 +161,20 @@ def flip_text(prompt, negative_prompt, task, steps, sampler, cfg_scale, seed):
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#file_name = response.json()['image']['file_name']
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#photo = f"{url_sd6}{file_name}.png"
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#return photo
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-
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conn.send('{"fn_index":0,"session_hash":""}')
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conn.send(f'{{"data":["{prompt}","[deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry","dreamshaperXL10_alpha2.safetensors [c8afe2ef]",30,"DPM++ 2M Karras",7,1024,1024,-1],"event_data":null,"fn_index":0,"session_hash":""}}')
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conn.recv()
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conn.recv()
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conn.recv()
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conn.recv()
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photo = json.loads(conn.recv())['output']['data'][0]
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photo = photo.replace('data:image/jpeg;base64,', '').replace('data:image/png;base64,', '')
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photo = Image.open(io.BytesIO(base64.decodebytes(bytes(photo, "utf-8"))))
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return photo
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-
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#except:
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# try:
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# client = Client("https://prodia-sdxl-stable-diffusion-xl.hf.space")
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import base64
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import re
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from gradio_client import Client
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from fake_useragent import UserAgent
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import random
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def flip_text(prompt, negative_prompt, task, steps, sampler, cfg_scale, seed):
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result = {"prompt": prompt,"negative_prompt": negative_prompt,"task": task,"steps": steps,"sampler": sampler,"cfg_scale": cfg_scale,"seed": seed}
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photo = photo.replace('data:image/jpeg;base64,', '').replace('data:image/png;base64,', '')
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photo = Image.open(io.BytesIO(base64.decodebytes(bytes(photo, "utf-8"))))
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return photo
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except:
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try:
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ua = UserAgent()
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headers = {
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'authority': 'ehristoforu-dalle-3-xl-lora-v2.hf.space',
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'accept': 'text/event-stream',
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'accept-language': 'ru,en;q=0.9,la;q=0.8,ja;q=0.7',
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'cache-control': 'no-cache',
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'referer': 'https://ehristoforu-dalle-3-xl-lora-v2.hf.space/?__theme=light',
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'sec-ch-ua': '"Not_A Brand";v="8", "Chromium";v="120", "YaBrowser";v="24.1", "Yowser";v="2.5"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"Windows"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': f'{ua.random}'
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}
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client = Client("ehristoforu/dalle-3-xl-lora-v2", headers=headers)
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result = client.predict(prompt,"(deformed, distorted, disfigured:1.3), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers:1.4), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation",True,0,1024,1024,6,True, api_name='/run')
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return result[0][0]['image']
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except:
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try:
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headers = {
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'authority': 'nymbo-sd-xl.hf.space',
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'accept': 'text/event-stream',
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'accept-language': 'ru,en;q=0.9,la;q=0.8,ja;q=0.7',
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'cache-control': 'no-cache',
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'referer': 'https://nymbo-sd-xl.hf.space/?__theme=light',
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'sec-ch-ua': '"Not_A Brand";v="8", "Chromium";v="120", "YaBrowser";v="24.1", "Yowser";v="2.5"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"Windows"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': f'{ua.random}'
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}
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client = Client("Nymbo/SD-XL", headers=headers)
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result = client.predict(prompt,negative_prompt,"","",True,False,False,0,1024,1024,7,1,25,25,False,api_name="/run")
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return result
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except:
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headers = {
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'authority': 'radames-real-time-text-to-image-sdxl-lightning.hf.space',
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'accept': 'text/event-stream',
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'accept-language': 'ru,en;q=0.9,la;q=0.8,ja;q=0.7',
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'cache-control': 'no-cache',
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'referer': 'https://radames-real-time-text-to-image-sdxl-lightning.hf.space/?__theme=light',
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'sec-ch-ua': '"Not_A Brand";v="8", "Chromium";v="120", "YaBrowser";v="24.1", "Yowser";v="2.5"',
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'sec-ch-ua-mobile': '?0',
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'sec-ch-ua-platform': '"Windows"',
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'sec-fetch-dest': 'empty',
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'sec-fetch-mode': 'cors',
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'sec-fetch-site': 'same-origin',
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'user-agent': f'{ua.random}'
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}
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client = Client("radames/Real-Time-Text-to-Image-SDXL-Lightning", headers=headers)
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result = client.predict(prompt, [], 0, random.randint(1, 999999), fn_index=0)
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return result
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#data = {"inputs":f"{prompt}, 4k photo","options":{"negative_prompt":"[deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry","width":1024,"height":1024,"guidance_scale":7,"num_inference_steps":35}}
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#response = requests.post(f'{url_sd5}', json=data)
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#print(response.text)
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#file_name = response.json()['image']['file_name']
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#photo = f"{url_sd6}{file_name}.png"
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#return photo
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#except Exception as e:
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# print("e: --> ",e)
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# with closing(create_connection(f"{url_sd4}")) as conn:
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# conn.send('{"fn_index":0,"session_hash":""}')
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# conn.send(f'{{"data":["{prompt}","[deformed | disfigured], poorly drawn, [bad : wrong] anatomy, [extra | missing | floating | disconnected] limb, (mutated hands and fingers), blurry","dreamshaperXL10_alpha2.safetensors [c8afe2ef]",30,"DPM++ 2M Karras",7,1024,1024,-1],"event_data":null,"fn_index":0,"session_hash":""}}')
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# conn.recv()
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# conn.recv()
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# conn.recv()
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# conn.recv()
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# photo = json.loads(conn.recv())['output']['data'][0]
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# photo = photo.replace('data:image/jpeg;base64,', '').replace('data:image/png;base64,', '')
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# photo = Image.open(io.BytesIO(base64.decodebytes(bytes(photo, "utf-8"))))
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# return photo
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#except:
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# try:
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# client = Client("https://prodia-sdxl-stable-diffusion-xl.hf.space")
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