Spaces:
Running
Running
lalashechka
commited on
Commit
•
ee76b4a
1
Parent(s):
ecd8121
Update app.py
Browse files
app.py
CHANGED
@@ -65,6 +65,8 @@ def flip_text(prompt, negative_prompt, task, steps, sampler, cfg_scale, seed):
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return photo
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def flipp():
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if task == 'Stable Diffusion XL 1.0':
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model = 'sd_xl_base_1.0'
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@@ -97,6 +99,29 @@ def flipp():
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except:
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return None
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css = """
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#generate {
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width: 100%;
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@@ -112,6 +137,10 @@ css = """
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color: #fff;
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}
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footer {visibility: hidden !important;}
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"""
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with gr.Blocks(css=css) as demo:
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@@ -135,12 +164,28 @@ with gr.Blocks(css=css) as demo:
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cfg_scale = gr.Slider(show_label=True, label="CFG Scale:", minimum=1, maximum=20, value=7, step=1)
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with gr.Row():
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seed = gr.Number(show_label=True, label="Seed:", minimum=-1, maximum=1000000, value=-1, step=1)
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with gr.Column():
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text_button = gr.Button("Сгенерировать изображение", variant='primary', elem_id="generate")
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with gr.Column(
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image_output = gr.Image(
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-
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text_button.click(flip_text, inputs=[prompt, negative_prompt, task, steps, sampler, cfg_scale, seed], outputs=image_output)
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demo.queue(concurrency_count=12)
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demo.launch()
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return photo
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def flipp():
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if task == 'Stable Diffusion XL 1.0':
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model = 'sd_xl_base_1.0'
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except:
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return None
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+
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def mirror(image_output, scale_by, method, gfpgan, codeformer):
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url_up = os.getenv("url_up")
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url_up_f = os.getenv("url_up_f")
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scale_by = int(scale_by)
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gfpgan = int(gfpgan)
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codeformer = int(codeformer)
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with open(image_output, "rb") as image_file:
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encoded_string2 = base64.b64encode(image_file.read())
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encoded_string2 = str(encoded_string2).replace("b'", '')
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encoded_string2 = "data:image/png;base64," + encoded_string2
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data = {"fn_index":81,"data":[0,0,encoded_string2,None,"","",True,gfpgan,codeformer,0,scale_by,512,512,None,method,"None",1,False,[],"",""],"session_hash":""}
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print(data)
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r = requests.post(f"{url_up}", json=data, timeout=100)
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print(r.text)
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ph = f"{url_up_f}" + str(r.json()['data'][0][0]['name'])
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return ph
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css = """
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#generate {
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width: 100%;
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color: #fff;
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}
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footer {visibility: hidden !important;}
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#image_output {
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height: 100% !important;
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}
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"""
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with gr.Blocks(css=css) as demo:
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cfg_scale = gr.Slider(show_label=True, label="CFG Scale:", minimum=1, maximum=20, value=7, step=1)
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with gr.Row():
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seed = gr.Number(show_label=True, label="Seed:", minimum=-1, maximum=1000000, value=-1, step=1)
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with gr.Tab("Настройки апскейлинга"):
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with gr.Column():
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with gr.Row():
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scale_by = gr.Number(show_label=True, label="Во сколько раз увеличить:", minimum=1, maximum=4, value=2, step=1)
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with gr.Row():
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method = gr.Dropdown(show_label=True, value="ESRGAN_4x", label="Алгоритм увеличения", choices=["ScuNET GAN", "SwinIR 4x", "ESRGAN_4x", "R-ESRGAN 4x+", "R-ESRGAN 4x+ Anime6B"])
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with gr.Column():
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with gr.Row():
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gfpgan = gr.Slider(show_label=True, label="Эффект GFPGAN", minimum=0, maximum=1, value=0, step=0.1)
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with gr.Row():
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codeformer = gr.Slider(show_label=True, label="Эффект CodeFormer", minimum=0, maximum=1, value=0, step=0.1)
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with gr.Column():
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text_button = gr.Button("Сгенерировать изображение", variant='primary', elem_id="generate")
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with gr.Column():
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image_output = gr.Image(show_download_button=True, interactive=False, label='Результат:', elem_id='image_output', type='filepath')
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text_button.click(flip_text, inputs=[prompt, negative_prompt, task, steps, sampler, cfg_scale, seed], outputs=image_output)
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img2img_b = gr.Button("Увеличить изображение", variant='secondary')
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image_i2i = gr.Image(show_label=True, label='Увеличенное изображение:')
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img2img_b.click(mirror, inputs=[image_output, scale_by, method, gfpgan, codeformer], outputs=image_i2i)
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demo.queue(concurrency_count=12)
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demo.launch()
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