1b87a98261
## 主要更新 - ✨ 更新所有依赖到最新稳定版本 - 📝 添加详细的项目文档和模型推荐 - 🔧 配置 VSCode Cloud Studio 预览功能 - 🐛 修复 PyTorch API 弃用警告 ## 依赖更新 - diffusers: 0.27.2 → 0.35.2 - gradio: 4.21.0 → 5.46.0 - peft: 0.7.1 → 0.18.0 - Pillow: 9.5.0 → 11.3.0 - fastapi: 0.108.0 → 0.116.2 ## 新增文件 - CLAUDE.md - 项目架构和开发指南 - UPGRADE_NOTES.md - 详细的升级说明 - .vscode/preview.yml - 预览配置 - .vscode/LAUNCH_GUIDE.md - 启动指南 - .gitignore - 更新的忽略规则 ## 代码修复 - 修复 iopaint/model/ldm.py 中的 torch.cuda.amp.autocast() 弃用警告 ## 文档更新 - README.md - 添加模型推荐和使用指南 - 完整的项目源码（iopaint/） - Web 前端源码（web_app/） 🤖 Generated with Claude Code
119 lines
3.2 KiB
Python
119 lines
3.2 KiB
Python
import os
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from iopaint.tests.utils import check_device, current_dir
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os.environ["PYTORCH_ENABLE_MPS_FALLBACK"] = "1"
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import pytest
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import torch
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from iopaint.model_manager import ModelManager
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from iopaint.schema import HDStrategy, SDSampler
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from iopaint.tests.test_model import get_config, assert_equal
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@pytest.mark.parametrize("device", ["cuda", "mps"])
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@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
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@pytest.mark.parametrize("sampler", [SDSampler.ddim])
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def test_sdxl(device, strategy, sampler):
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sd_steps = check_device(device)
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model = ModelManager(
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name="diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
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device=torch.device(device),
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disable_nsfw=True,
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sd_cpu_textencoder=False,
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)
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cfg = get_config(
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strategy=strategy,
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prompt="face of a fox, sitting on a bench",
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sd_steps=sd_steps,
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sd_strength=1.0,
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sd_guidance_scale=7.0,
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)
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cfg.sd_sampler = sampler
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assert_equal(
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model,
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cfg,
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f"sdxl_device_{device}.png",
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
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mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
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fx=2,
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fy=2,
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)
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@pytest.mark.parametrize("device", ["cuda", "cpu"])
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@pytest.mark.parametrize("strategy", [HDStrategy.ORIGINAL])
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@pytest.mark.parametrize("sampler", [SDSampler.ddim])
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def test_sdxl_cpu_text_encoder(device, strategy, sampler):
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sd_steps = check_device(device)
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model = ModelManager(
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name="diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
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device=torch.device(device),
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disable_nsfw=True,
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sd_cpu_textencoder=True,
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)
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cfg = get_config(
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strategy=strategy,
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prompt="face of a fox, sitting on a bench",
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sd_steps=sd_steps,
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sd_strength=1.0,
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sd_guidance_scale=7.0,
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)
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cfg.sd_sampler = sampler
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assert_equal(
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model,
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cfg,
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f"sdxl_device_{device}.png",
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
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mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
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fx=2,
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fy=2,
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)
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@pytest.mark.parametrize("device", ["cuda", "mps"])
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@pytest.mark.parametrize(
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"rect",
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[
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[-128, -128, 1024, 1024],
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],
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)
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def test_sdxl_outpainting(device, rect):
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sd_steps = check_device(device)
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model = ModelManager(
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name="diffusers/stable-diffusion-xl-1.0-inpainting-0.1",
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device=torch.device(device),
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disable_nsfw=True,
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sd_cpu_textencoder=False,
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)
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cfg = get_config(
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strategy=HDStrategy.ORIGINAL,
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prompt="a dog sitting on a bench in the park",
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sd_steps=sd_steps,
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use_extender=True,
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extender_x=rect[0],
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extender_y=rect[1],
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extender_width=rect[2],
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extender_height=rect[3],
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sd_strength=1.0,
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sd_guidance_scale=8.0,
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sd_sampler=SDSampler.ddim,
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)
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assert_equal(
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model,
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cfg,
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f"sdxl_outpainting_dog_ddim_{'_'.join(map(str, rect))}_device_{device}.png",
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img_p=current_dir / "overture-creations-5sI6fQgYIuo.png",
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mask_p=current_dir / "overture-creations-5sI6fQgYIuo_mask.png",
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fx=1.5,
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fy=1.5,
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)
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