layerdiffusion
commited on
Commit
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0a6031f
1
Parent(s):
708f7b0
try zero
Browse files- README.md +1 -1
- app.py +3 -1
- requirements.txt +1 -1
README.md
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@@ -4,7 +4,7 @@ emoji: 📈
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colorFrom: yellow
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colorTo: red
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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license: creativeml-openrail-m
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colorFrom: yellow
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colorTo: red
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sdk: gradio
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sdk_version: 4.29.0
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app_file: app.py
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pinned: false
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license: creativeml-openrail-m
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app.py
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@@ -1,3 +1,4 @@
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import math
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import gradio as gr
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import numpy as np
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@@ -332,6 +333,7 @@ def process(input_fg, prompt, image_width, image_height, num_samples, seed, step
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return pytorch2numpy(pixels)
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@torch.inference_mode()
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def process_relight(input_fg, prompt, image_width, image_height, num_samples, seed, steps, a_prompt, n_prompt, cfg, highres_scale, highres_denoise, lowres_denoise, bg_source):
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input_fg, matting = run_rmbg(input_fg)
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@@ -382,7 +384,7 @@ with block:
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with gr.Row():
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with gr.Column():
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with gr.Row():
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input_fg = gr.Image(
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output_bg = gr.Image(type="numpy", label="Preprocessed Foreground", height=480)
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prompt = gr.Textbox(label="Prompt")
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bg_source = gr.Radio(choices=[e.value for e in BGSource],
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import spaces
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import math
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import gradio as gr
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import numpy as np
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return pytorch2numpy(pixels)
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@spaces.GPU
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@torch.inference_mode()
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def process_relight(input_fg, prompt, image_width, image_height, num_samples, seed, steps, a_prompt, n_prompt, cfg, highres_scale, highres_denoise, lowres_denoise, bg_source):
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input_fg, matting = run_rmbg(input_fg)
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with gr.Row():
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with gr.Column():
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with gr.Row():
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input_fg = gr.Image(sources='upload', type="numpy", label="Image", height=480)
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output_bg = gr.Image(type="numpy", label="Preprocessed Foreground", height=480)
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prompt = gr.Textbox(label="Prompt")
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bg_source = gr.Radio(choices=[e.value for e in BGSource],
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requirements.txt
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@@ -7,5 +7,5 @@ safetensors
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pillow==10.2.0
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einops
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peft
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gradio==
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protobuf==3.20
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pillow==10.2.0
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einops
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peft
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gradio==4.29.0
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protobuf==3.20
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