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85b1357
1
Parent(s):
46b2abb
added remove bg
Browse files- app.py +11 -4
- requirements.txt +2 -1
app.py
CHANGED
@@ -3,6 +3,8 @@ import json
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import logging
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import torch
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import base64
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from io import BytesIO
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from PIL import Image
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from diffusers import (
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@@ -35,8 +37,13 @@ def image_to_base64(image: Image) -> str:
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img_base64 = base64.b64encode(buffered.getvalue()).decode('utf-8')
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return img_base64
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-
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-
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def update_selection(evt: gr.SelectData):
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selected_lora = loras[evt.index]
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new_placeholder = f"Type a prompt for {selected_lora['title']}"
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@@ -115,8 +122,8 @@ def run_lora(prompt, negative_prompt, cfg_scale, steps, scheduler, seed, width,
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# Unload LoRA weights
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pipe.unload_lora_weights()
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-
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return image_to_base64(
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with gr.Blocks(theme=gr.themes.Soft()) as app:
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import logging
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import torch
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import base64
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import rembg
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import numpy as np
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from io import BytesIO
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from PIL import Image
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from diffusers import (
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img_base64 = base64.b64encode(buffered.getvalue()).decode('utf-8')
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return img_base64
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def remove_bg(image: Image):
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input_array_bg = np.array(image)
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# Apply background removal using rembg
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output_array_bg = rembg.remove(input_array_bg)
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# Create a PIL Image from the output array
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return Image.fromarray(output_array_bg)
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def update_selection(evt: gr.SelectData):
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selected_lora = loras[evt.index]
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new_placeholder = f"Type a prompt for {selected_lora['title']}"
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# Unload LoRA weights
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pipe.unload_lora_weights()
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image_without_bg = remove_bg(image)
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return image_to_base64(image_without_bg)
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with gr.Blocks(theme=gr.themes.Soft()) as app:
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requirements.txt
CHANGED
@@ -2,4 +2,5 @@ torch
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diffusers
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spaces
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transformers
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-
peft
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diffusers
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spaces
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transformers
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peft
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rembg
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