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app.py
CHANGED
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@@ -4,49 +4,49 @@ from typing import Optional
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import gradio as gr
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import torch
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from diffusers import AutoPipelineForText2Image
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MODEL_ID = os.getenv("MODEL_ID", "stablediffusionapi/counterfeit-v30")
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DEFAULT_NEGATIVE = os.getenv(
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"DEFAULT_NEGATIVE",
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"blurry, lowres, worst quality, low quality, bad anatomy, watermark, text, extra fingers",
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)
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PRESETS = {
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"
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"prompt": "
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"negative": DEFAULT_NEGATIVE,
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"steps":
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"cfg": 7.0,
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"width":
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"height":
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"seed": -1,
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},
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"
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"prompt": "
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"negative": DEFAULT_NEGATIVE,
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-
"steps":
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"cfg": 7.0,
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"width":
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"height":
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"seed": -1,
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},
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"🌸 樱花和服": {
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"prompt": "1girl, anime style, kimono, cherry blossoms,
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"negative": DEFAULT_NEGATIVE,
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"steps":
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"cfg": 7.0,
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"width":
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"height":
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"seed": -1,
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},
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"
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"prompt": "
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"negative": DEFAULT_NEGATIVE,
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"steps":
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"cfg": 7.0,
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"width":
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"height":
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"seed": -1,
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},
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}
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@@ -68,8 +68,12 @@ def load_pipe():
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pipe.safety_checker = None
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if hasattr(pipe, "requires_safety_checker"):
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pipe.requires_safety_checker = False
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if hasattr(pipe, "enable_attention_slicing"):
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pipe.enable_attention_slicing()
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if hasattr(pipe, "vae") and hasattr(pipe.vae, "enable_tiling"):
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pipe.vae.enable_tiling()
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pipe = pipe.to(_device)
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@@ -116,36 +120,37 @@ def generate(
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if seed >= 0:
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generator = torch.Generator(device=_device).manual_seed(int(seed))
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-
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-
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-
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-
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-
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-
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-
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-
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-
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return image
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with gr.Blocks(title="wode") as demo:
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gr.Markdown(
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f"# wode\n\n免费档二次元生图(
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)
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(
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label="正向提示词",
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lines=4,
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placeholder="例如:1girl, anime style, detailed
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)
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negative_prompt = gr.Textbox(label="反向提示词", lines=
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with gr.Row():
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steps = gr.Slider(
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guidance_scale = gr.Slider(1, 12, value=7.0, step=0.5, label="引导强度 CFG")
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with gr.Row():
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width = gr.Slider(256,
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height = gr.Slider(256,
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seed = gr.Number(label="随机种子(-1 为随机)", value=-1, precision=0)
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with gr.Row():
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run = gr.Button("开始生成", variant="primary")
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@@ -155,16 +160,16 @@ with gr.Blocks(title="wode") as demo:
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gr.Markdown("## 二次元预设按钮")
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with gr.Row():
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preset1 = gr.Button("
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preset2 = gr.Button("
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preset3 = gr.Button("🌸 樱花和服")
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preset4 = gr.Button("
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for btn, name in [
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(preset1, "
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(preset2, "
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(preset3, "🌸 樱花和服"),
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(preset4, "
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]:
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btn.click(
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fn=lambda n=name: apply_preset(n),
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@@ -176,21 +181,21 @@ with gr.Blocks(title="wode") as demo:
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label="也可以直接点下面示例",
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examples=[
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[
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PRESETS["
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DEFAULT_NEGATIVE,
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-
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7.0,
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-
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-
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-1,
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],
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[
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PRESETS["
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DEFAULT_NEGATIVE,
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-
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7.0,
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-
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-
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-1,
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],
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],
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import gradio as gr
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import torch
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from diffusers import AutoPipelineForText2Image, EulerAncestralDiscreteScheduler
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MODEL_ID = os.getenv("MODEL_ID", "stablediffusionapi/counterfeit-v30")
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DEFAULT_NEGATIVE = os.getenv(
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"DEFAULT_NEGATIVE",
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"blurry, lowres, worst quality, low quality, bad anatomy, watermark, text, extra fingers, realistic, photo, 3d, child, loli, young-looking",
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)
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PRESETS = {
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"🎀 动漫头像": {
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"prompt": "masterpiece, best quality, 1girl, solo, anime style, upper body portrait, detailed eyes, clean lineart, soft cel shading",
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"negative": DEFAULT_NEGATIVE,
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"steps": 12,
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"cfg": 7.0,
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"width": 384,
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"height": 576,
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"seed": -1,
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},
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"💼 成熟御姐": {
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"prompt": "masterpiece, best quality, 1woman, mature female, solo, anime style, office lady, detailed eyes, upper body portrait, clean lineart",
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"negative": DEFAULT_NEGATIVE,
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"steps": 12,
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"cfg": 7.0,
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"width": 384,
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"height": 576,
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"seed": -1,
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},
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"🌸 樱花和服": {
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"prompt": "masterpiece, best quality, 1girl, anime style, kimono, cherry blossoms, elegant pose, detailed face, clean lineart",
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"negative": DEFAULT_NEGATIVE,
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"steps": 14,
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"cfg": 7.0,
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"width": 448,
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"height": 640,
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"seed": -1,
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},
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"🏙 赛博少女": {
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"prompt": "masterpiece, best quality, 1girl, anime style, cyberpunk city, neon lights, upper body, detailed eyes, clean lineart",
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"negative": DEFAULT_NEGATIVE,
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"steps": 14,
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"cfg": 7.0,
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"width": 448,
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"height": 640,
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"seed": -1,
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},
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}
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pipe.safety_checker = None
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if hasattr(pipe, "requires_safety_checker"):
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pipe.requires_safety_checker = False
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if hasattr(pipe, "scheduler") and pipe.scheduler is not None:
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pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
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if hasattr(pipe, "enable_attention_slicing"):
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pipe.enable_attention_slicing()
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if hasattr(pipe, "enable_vae_slicing"):
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pipe.enable_vae_slicing()
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if hasattr(pipe, "vae") and hasattr(pipe.vae, "enable_tiling"):
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pipe.vae.enable_tiling()
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pipe = pipe.to(_device)
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if seed >= 0:
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generator = torch.Generator(device=_device).manual_seed(int(seed))
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with torch.inference_mode():
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image = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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num_inference_steps=int(steps),
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guidance_scale=float(guidance_scale),
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width=int(width),
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height=int(height),
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generator=generator,
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).images[0]
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return image
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with gr.Blocks(title="wode") as demo:
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gr.Markdown(
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f"# wode\n\n免费档二次元生图(Counterfeit 路线)\n\n当前模型:`{MODEL_ID}`\n\n推荐先用:`384x576 / 12 steps / CFG 7`。\n\n想更像动漫角色:正向词尽量写 `1girl/1woman + anime style + detailed eyes + clean lineart`。\n想偏成年风格:加 `mature female` 或 `adult woman`。默认反向词已压制 `realistic/photo` 和 `child-like`。\n\n⚠️ 免费 CPU 仍然会慢,通常要等 `1~5 分钟`。"
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)
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with gr.Row():
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with gr.Column():
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prompt = gr.Textbox(
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label="正向提示词",
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lines=4,
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placeholder="例如:masterpiece, best quality, 1girl, anime style, detailed eyes, clean lineart",
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)
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negative_prompt = gr.Textbox(label="反向提示词", lines=3, value=DEFAULT_NEGATIVE)
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with gr.Row():
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steps = gr.Slider(6, 24, value=12, step=1, label="步数 Steps")
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guidance_scale = gr.Slider(1, 12, value=7.0, step=0.5, label="引导强度 CFG")
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with gr.Row():
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width = gr.Slider(256, 640, value=384, step=64, label="宽度")
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height = gr.Slider(256, 896, value=576, step=64, label="高度")
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seed = gr.Number(label="随机种子(-1 为随机)", value=-1, precision=0)
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with gr.Row():
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run = gr.Button("开始生成", variant="primary")
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gr.Markdown("## 二次元预设按钮")
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with gr.Row():
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preset1 = gr.Button("🎀 动漫头像")
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preset2 = gr.Button("💼 成熟御姐")
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preset3 = gr.Button("🌸 樱花和服")
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preset4 = gr.Button("🏙 赛博少女")
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for btn, name in [
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(preset1, "🎀 动漫头像"),
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(preset2, "💼 成熟御姐"),
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(preset3, "🌸 樱花和服"),
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(preset4, "🏙 赛博少女"),
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]:
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btn.click(
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fn=lambda n=name: apply_preset(n),
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label="也可以直接点下面示例",
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examples=[
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[
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PRESETS["🎀 动漫头像"]["prompt"],
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DEFAULT_NEGATIVE,
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12,
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7.0,
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384,
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576,
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-1,
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],
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[
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PRESETS["💼 成熟御姐"]["prompt"],
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DEFAULT_NEGATIVE,
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12,
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7.0,
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384,
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576,
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-1,
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],
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],
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