Spaces:
Running on Zero
Running on Zero
1lch2 commited on
Commit ·
e2e4ca3
1
Parent(s): 11268fa
remove useless tile size slider
Browse files- app.py +26 -19
- requirements.txt +1 -1
app.py
CHANGED
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@@ -27,9 +27,25 @@ UltraSharp V2 — 图像超分辨率 Gradio 应用
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"""
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import os
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import gradio as gr
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from model_loader import UltraSharpV2
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# ---------------------------------------------------------------------------
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# ZeroGPU 兼容层
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# ---------------------------------------------------------------------------
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@@ -55,11 +71,18 @@ def _gpu(fn):
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model = UltraSharpV2(device="cpu")
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# ---------------------------------------------------------------------------
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# 推理函数(生成器模式 — ZeroGPU 硬性要求)
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# ---------------------------------------------------------------------------
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@_gpu
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def on_upscale(image,
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if image is None:
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yield None, "请先上传图片"
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return
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@@ -67,7 +90,7 @@ def on_upscale(image, tile_size, tile_overlap, target_scale):
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model.to_cuda()
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try:
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result, elapsed = model.upscale(
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image,
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)
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finally:
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model.to_cpu()
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@@ -94,22 +117,6 @@ with gr.Blocks(title="UltraSharp V2") as demo:
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step=0.05,
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info="> 模型原生倍率时, 输出先 4x 推理再 Lanczos 缩放",
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)
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tile_size = gr.Slider(
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label="tile_size",
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minimum=128,
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maximum=1024,
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value=512,
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step=32,
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info="分块大小,越小越省显存",
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)
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tile_overlap = gr.Slider(
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label="tile_overlap",
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minimum=0,
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maximum=128,
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value=32,
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step=8,
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info="块间重叠像素",
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)
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with gr.Column(scale=1):
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run_btn = gr.Button("开始推理", variant="primary")
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@@ -118,7 +125,7 @@ with gr.Blocks(title="UltraSharp V2") as demo:
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run_btn.click(
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fn=on_upscale,
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inputs=[input_img,
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outputs=[output_img, status],
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)
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"""
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import os
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import signal
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import asyncio
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import gradio as gr
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from model_loader import UltraSharpV2
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def _cleanup(*_):
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"""Space 关闭时清理 asyncio 资源,避免 Python 3.12 的 fd=-1 报错。"""
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try:
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loop = asyncio.get_event_loop()
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if not loop.is_closed():
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loop.call_soon_threadsafe(loop.stop)
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except Exception:
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pass
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signal.signal(signal.SIGTERM, _cleanup)
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signal.signal(signal.SIGINT, _cleanup)
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# ---------------------------------------------------------------------------
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# ZeroGPU 兼容层
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# ---------------------------------------------------------------------------
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model = UltraSharpV2(device="cpu")
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# ---------------------------------------------------------------------------
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# 推理参数(RTX PRO 6000 Blackwell / 48GB — 无需省显存)
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# ---------------------------------------------------------------------------
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_TILE_SIZE = 1024
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_TILE_OVERLAP = 48
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# ---------------------------------------------------------------------------
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# 推理函数(生成器模式 — ZeroGPU 硬性要求)
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# ---------------------------------------------------------------------------
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@_gpu
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def on_upscale(image, target_scale):
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if image is None:
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yield None, "请先上传图片"
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return
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model.to_cuda()
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try:
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result, elapsed = model.upscale(
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image, _TILE_SIZE, _TILE_OVERLAP, float(target_scale)
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)
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finally:
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model.to_cpu()
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step=0.05,
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info="> 模型原生倍率时, 输出先 4x 推理再 Lanczos 缩放",
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)
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with gr.Column(scale=1):
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run_btn = gr.Button("开始推理", variant="primary")
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run_btn.click(
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fn=on_upscale,
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inputs=[input_img, target_scale],
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outputs=[output_img, status],
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)
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requirements.txt
CHANGED
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@@ -1,6 +1,6 @@
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torch>=2.0
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spandrel>=0.3
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gradio>=
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Pillow
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huggingface_hub
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spaces>=0.3
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torch>=2.0
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spandrel>=0.3
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gradio>=5.0
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Pillow
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huggingface_hub
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spaces>=0.3
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