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Commit
•
427f299
1
Parent(s):
daae8ba
Advices
Browse files
app.py
CHANGED
@@ -22,11 +22,11 @@ def check(
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prompt,
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uploaded_mask,
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negative_prompt,
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-
denoising_steps,
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num_inference_steps,
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guidance_scale,
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image_guidance_scale,
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strength,
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randomize_seed,
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seed,
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debug_mode,
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@@ -43,11 +43,11 @@ def inpaint(
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prompt,
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uploaded_mask,
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negative_prompt,
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denoising_steps,
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num_inference_steps,
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guidance_scale,
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image_guidance_scale,
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strength,
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randomize_seed,
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seed,
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debug_mode,
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@@ -58,11 +58,11 @@ def inpaint(
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prompt,
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uploaded_mask,
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negative_prompt,
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-
denoising_steps,
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num_inference_steps,
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guidance_scale,
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image_guidance_scale,
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strength,
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randomize_seed,
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seed,
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debug_mode
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@@ -73,9 +73,6 @@ def inpaint(
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if negative_prompt is None:
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negative_prompt = ""
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if denoising_steps is None:
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denoising_steps = 1000
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-
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if num_inference_steps is None:
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num_inference_steps = 25
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@@ -88,6 +85,9 @@ def inpaint(
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if strength is None:
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strength = 0.99
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if randomize_seed:
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seed = random.randint(0, max_64_bit_int)
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@@ -210,11 +210,11 @@ with gr.Blocks() as interface:
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uploaded_mask = gr.Image(label = "Already made mask (black pixels will be preserved, white pixels will be redrawn)", source = "upload", type = "pil")
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with gr.Accordion("Advanced options", open = False):
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negative_prompt = gr.Textbox(label = "Negative prompt", placeholder = "Describe what you do NOT want to see in the entire image", value = "Ugly, malformed, noise, blur, watermark")
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denoising_steps = gr.Slider(minimum = 0, maximum = 1000, value = 1000, step = 1, label = "Denoising", info = "lower=irrelevant result, higher=relevant result")
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num_inference_steps = gr.Slider(minimum = 10, maximum = 100, value = 25, step = 1, label = "Number of inference steps", info = "lower=faster, higher=image quality")
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guidance_scale = gr.Slider(minimum = 1, maximum = 13, value = 7, step = 0.1, label = "Classifier-Free Guidance Scale", info = "lower=image quality, higher=follow the prompt")
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image_guidance_scale = gr.Slider(minimum = 1, value = 1.1, step = 0.1, label = "Image Guidance Scale", info = "lower=image quality, higher=follow the image")
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strength = gr.Number(value = 0.99, minimum = 0.01, maximum = 1.0, step = 0.01, label = "Strength", info = "lower=follow the original area, higher=redraw from scratch")
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randomize_seed = gr.Checkbox(label = "\U0001F3B2 Randomize seed (not working, always checked)", value = True, info = "If checked, result is always different")
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seed = gr.Slider(minimum = 0, maximum = max_64_bit_int, step = 1, randomize = True, label = "Seed (if not randomized)")
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debug_mode = gr.Checkbox(label = "Debug mode", value = False, info = "Show intermediate results")
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@@ -234,11 +234,11 @@ with gr.Blocks() as interface:
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prompt,
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uploaded_mask,
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negative_prompt,
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-
denoising_steps,
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num_inference_steps,
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guidance_scale,
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image_guidance_scale,
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strength,
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randomize_seed,
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seed,
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debug_mode
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@@ -247,11 +247,11 @@ with gr.Blocks() as interface:
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prompt,
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uploaded_mask,
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negative_prompt,
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-
denoising_steps,
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num_inference_steps,
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guidance_scale,
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image_guidance_scale,
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strength,
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randomize_seed,
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seed,
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debug_mode
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@@ -268,11 +268,11 @@ with gr.Blocks() as interface:
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prompt,
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uploaded_mask,
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negative_prompt,
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-
denoising_steps,
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num_inference_steps,
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guidance_scale,
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image_guidance_scale,
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strength,
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randomize_seed,
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seed,
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debug_mode
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@@ -289,11 +289,11 @@ with gr.Blocks() as interface:
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"A deer, in a forest landscape, ultrarealistic, realistic, photorealistic, 8k",
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"./Examples/Mask1.webp",
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"Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
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-
1000,
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25,
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7,
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1.1,
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0.99,
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True,
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42,
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False
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@@ -303,11 +303,11 @@ with gr.Blocks() as interface:
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"An angry old woman, ultrarealistic, realistic, photorealistic, 8k",
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"./Examples/Mask3.gif",
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"Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
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-
1000,
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25,
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7,
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1.5,
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0.99,
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True,
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42,
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False
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@@ -317,11 +317,11 @@ with gr.Blocks() as interface:
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"A laptop, ultrarealistic, realistic, photorealistic, 8k",
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"./Examples/Mask4.bmp",
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"Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
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-
1000,
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25,
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7,
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1.1,
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0.99,
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True,
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42,
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False
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@@ -331,11 +331,11 @@ with gr.Blocks() as interface:
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"A sand castle, ultrarealistic, realistic, photorealistic, 8k",
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"./Examples/Mask5.png",
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"Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
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1000,
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50,
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7,
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1.5,
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0.5,
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True,
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42,
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False
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@@ -345,11 +345,11 @@ with gr.Blocks() as interface:
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"A cat, ultrarealistic, realistic, photorealistic, 8k",
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"./Examples/Mask2.png",
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"Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
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-
1000,
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25,
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7,
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1.1,
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0.99,
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True,
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42,
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False
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@@ -357,5 +357,41 @@ with gr.Blocks() as interface:
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],
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cache_examples = False,
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)
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interface.queue().launch()
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prompt,
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uploaded_mask,
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24 |
negative_prompt,
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25 |
num_inference_steps,
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26 |
guidance_scale,
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27 |
image_guidance_scale,
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28 |
strength,
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+
denoising_steps,
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30 |
randomize_seed,
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31 |
seed,
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32 |
debug_mode,
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43 |
prompt,
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44 |
uploaded_mask,
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45 |
negative_prompt,
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46 |
num_inference_steps,
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47 |
guidance_scale,
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48 |
image_guidance_scale,
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49 |
strength,
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50 |
+
denoising_steps,
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51 |
randomize_seed,
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seed,
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53 |
debug_mode,
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prompt,
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uploaded_mask,
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negative_prompt,
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num_inference_steps,
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guidance_scale,
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image_guidance_scale,
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strength,
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+
denoising_steps,
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randomize_seed,
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seed,
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debug_mode
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if negative_prompt is None:
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negative_prompt = ""
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if num_inference_steps is None:
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num_inference_steps = 25
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if strength is None:
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strength = 0.99
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if denoising_steps is None:
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denoising_steps = 1000
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if randomize_seed:
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seed = random.randint(0, max_64_bit_int)
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uploaded_mask = gr.Image(label = "Already made mask (black pixels will be preserved, white pixels will be redrawn)", source = "upload", type = "pil")
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with gr.Accordion("Advanced options", open = False):
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negative_prompt = gr.Textbox(label = "Negative prompt", placeholder = "Describe what you do NOT want to see in the entire image", value = "Ugly, malformed, noise, blur, watermark")
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num_inference_steps = gr.Slider(minimum = 10, maximum = 100, value = 25, step = 1, label = "Number of inference steps", info = "lower=faster, higher=image quality")
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guidance_scale = gr.Slider(minimum = 1, maximum = 13, value = 7, step = 0.1, label = "Classifier-Free Guidance Scale", info = "lower=image quality, higher=follow the prompt")
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image_guidance_scale = gr.Slider(minimum = 1, value = 1.1, step = 0.1, label = "Image Guidance Scale", info = "lower=image quality, higher=follow the image")
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strength = gr.Number(value = 0.99, minimum = 0.01, maximum = 1.0, step = 0.01, label = "Strength", info = "lower=follow the original area, higher=redraw from scratch")
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denoising_steps = gr.Slider(minimum = 0, maximum = 1000, value = 1000, step = 1, label = "Denoising", info = "lower=irrelevant result, higher=relevant result")
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randomize_seed = gr.Checkbox(label = "\U0001F3B2 Randomize seed (not working, always checked)", value = True, info = "If checked, result is always different")
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seed = gr.Slider(minimum = 0, maximum = max_64_bit_int, step = 1, randomize = True, label = "Seed (if not randomized)")
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debug_mode = gr.Checkbox(label = "Debug mode", value = False, info = "Show intermediate results")
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prompt,
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uploaded_mask,
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negative_prompt,
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237 |
num_inference_steps,
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238 |
guidance_scale,
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239 |
image_guidance_scale,
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strength,
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+
denoising_steps,
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randomize_seed,
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243 |
seed,
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debug_mode
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247 |
prompt,
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248 |
uploaded_mask,
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249 |
negative_prompt,
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250 |
num_inference_steps,
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251 |
guidance_scale,
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252 |
image_guidance_scale,
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253 |
strength,
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254 |
+
denoising_steps,
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randomize_seed,
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256 |
seed,
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257 |
debug_mode
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prompt,
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269 |
uploaded_mask,
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negative_prompt,
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271 |
num_inference_steps,
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272 |
guidance_scale,
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273 |
image_guidance_scale,
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274 |
strength,
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275 |
+
denoising_steps,
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randomize_seed,
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seed,
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debug_mode
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"A deer, in a forest landscape, ultrarealistic, realistic, photorealistic, 8k",
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"./Examples/Mask1.webp",
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"Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
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25,
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7,
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1.1,
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0.99,
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+
1000,
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True,
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42,
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False
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"An angry old woman, ultrarealistic, realistic, photorealistic, 8k",
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"./Examples/Mask3.gif",
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"Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
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25,
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7,
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1.5,
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0.99,
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+
1000,
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True,
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42,
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False
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"A laptop, ultrarealistic, realistic, photorealistic, 8k",
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"./Examples/Mask4.bmp",
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"Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
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25,
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7,
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1.1,
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0.99,
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+
1000,
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True,
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42,
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False
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"A sand castle, ultrarealistic, realistic, photorealistic, 8k",
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"./Examples/Mask5.png",
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"Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
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50,
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7,
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1.5,
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0.5,
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+
1000,
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True,
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42,
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False
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"A cat, ultrarealistic, realistic, photorealistic, 8k",
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"./Examples/Mask2.png",
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"Painting, drawing, cartoon, ugly, malformed, noise, blur, watermark",
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25,
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7,
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1.1,
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0.99,
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+
1000,
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True,
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42,
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False
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],
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cache_examples = False,
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)
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gr.Markdown(
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"""
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### How to prompt your image
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To easily read your prompt, start with the subject, then describ the pose or action, then secondary elements, then the background, then the graphical style, then the image quality:
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```
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A Vietnamese woman, red clothes, walking, smilling, in the street, a car on the left, in a modern city, photorealistic, 8k
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```
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You can use round brackets to increase the importance of a part:
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```
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A Vietnamese woman, (red clothes), walking, smilling, in the street, a car on the left, in a modern city, photorealistic, 8k
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```
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You can use several levels of round brackets to even more increase the importance of a part:
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```
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A Vietnamese woman, ((red clothes)), (walking), smilling, in the street, a car on the left, in a modern city, photorealistic, 8k
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```
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You can use number instead of several round brackets:
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```
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A Vietnamese woman, (red clothes:1.5), (walking), smilling, in the street, a car on the left, in a modern city, photorealistic, 8k
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```
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+
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You can do the same thing with square brackets to decrease the importance of a part:
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```
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A [Vietnamese] woman, (red clothes:1.5), (walking), smilling, in the street, a car on the left, in a modern city, photorealistic, 8k
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```
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+
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To easily read your negative prompt, organize it the same way as your prompt (not important for the AI):
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```
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man, boy, hat, running, tree, bicycle, forest, drawing, painting, cartoon, 3d, monochrome, blurry, noisy, bokeh
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```
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"""
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)
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interface.queue().launch()
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