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Add community version controlnet performance testing (#557)
## Performance Comparison > NVIDIA GeForce RTX 3090 - model: sd_xl_base_1.0.safetensors - batch size: 1 - image size: 1024x1024 - steps: 20 Timings for 20 steps at 1024x1024 | e2e | Basic | Lora | ControlNet | | ---------------------- | ------ | ------ | ---------- | | PyTorch | 5.57 s | 5.62 s | 7.95 s | | OneDiff | 3.16 s | 3.16 s | 5.45 s | | Percentage improvement | 43% | 44% | 31% | Image throughput for 20 steps at 1024x1024 | it/s | Basic | Lora | ControlNet | | ---------------------- | -------- | -------- | ---------- | | PyTorch | 4.04it/s | 3.99it/s | 2.87it/s | | OneDiff | 7.61it/s | 7.51it/s | 4.40it/s | | Percentage improvement | 88% | 88% | 53% | - onediff: d387e7e (origin/main, origin/HEAD, main) - oneflow: version: 0.9.1.dev20240120+cu121 git_commit: 287b806
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,44 @@ | ||
| categories: | ||
| - Basic | ||
| - Lora | ||
| - ControlNets | ||
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| optimization_scores: | ||
| - 0.3 | ||
| - 0.3 | ||
| - 0.35 | ||
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| display_scores_on_bars: true # Whether to display scores on bars | ||
| use_default_scores_on_bars: true # Whether to use default optimization_scores on bars | ||
| custom_scores_on_bars: | ||
| - 0.3 | ||
| - 0.3 | ||
| - 0.3 | ||
| # scores_format_on_bars: '{score:.2f}' # Format of the displayed scores on bars | ||
| scores_format_on_bars: '{score:.0%}' | ||
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| colormap: coolwarm | ||
| colormap_range: | ||
| - 0.2 | ||
| - 0.5 | ||
| - 0.8 | ||
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| bar_width: 0.6 | ||
| rotation_angle: 45 | ||
| label_fontsize: 10 | ||
| line_color: '#d2b48c' | ||
| line_style: '--' | ||
| line_width: 0.5 | ||
| line_alpha: 0.7 | ||
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| figure: | ||
| figsize: | ||
| width: 8 | ||
| height: 6 | ||
| dpi: 300 | ||
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| plot_title: 'Optimization Scores for Different Categories' | ||
| x_label: '' | ||
| y_label: 'Optimization Score' | ||
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| output_filename: 'config.png' |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,115 @@ | ||
| import matplotlib as mpl | ||
| import matplotlib.pyplot as plt | ||
| import yaml | ||
| import argparse | ||
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| def parse_args(): | ||
| parser = argparse.ArgumentParser(description="Plot optimization scores") | ||
| parser.add_argument( | ||
| "--config", type=str, default="config.yaml", help="Path to the config file" | ||
| ) | ||
| return parser.parse_args() | ||
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| # Load settings from the YAML file | ||
| args = parse_args() | ||
| with open(args.config, "r") as file: | ||
| config = yaml.safe_load(file) | ||
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| categories = config["categories"] | ||
| optimization_scores = config["optimization_scores"] | ||
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| # Use default scores on bars if configured to do so | ||
| if config.get("use_default_scores_on_bars", False): | ||
| optimization_scores_on_bars = config.get("optimization_scores", [0.3, 0.3, 0.35]) | ||
| else: | ||
| optimization_scores_on_bars = config.get("custom_scores_on_bars", []) | ||
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| # Set up a colormap for gradient color | ||
| colormap_range = config.get("colormap_range", [0.2, 0.5, 0.8]) | ||
| # colors = plt.cm.get_cmap(config['colormap'])(colormap_range) | ||
| colors = mpl.colormaps.get_cmap(config["colormap"])(colormap_range) | ||
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| # Set figure size and resolution | ||
| fig, ax = plt.subplots( | ||
| figsize=( | ||
| config["figure"]["figsize"]["width"], | ||
| config["figure"]["figsize"]["height"], | ||
| ), | ||
| dpi=config["figure"]["dpi"], | ||
| ) | ||
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| # Customize bar width and use gradient colors | ||
| bars = ax.bar( | ||
| categories, | ||
| optimization_scores, | ||
| width=config["bar_width"], | ||
| color=colors, | ||
| edgecolor="None", | ||
| ) | ||
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| # Add Optimization Scores on top of the bars | ||
| if config.get("display_scores_on_bars", False): | ||
| for bar, score in zip(bars, optimization_scores_on_bars): | ||
| ax.text( | ||
| bar.get_x() + bar.get_width() / 2, | ||
| bar.get_height() + 0.01, | ||
| config.get("scores_format_on_bars", "{score:.2f}").format(score=score), | ||
| ha="center", | ||
| va="bottom", | ||
| fontsize=config["label_fontsize"], | ||
| ) | ||
| # ax.text(bar.get_x() + bar.get_width() / 2, bar.get_height() + 0.01, f'{score:.2f}', ha='center', va='bottom', fontsize=config['label_fontsize']) | ||
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| # Adjust font size for ticks | ||
| ax.set_xticks(ax.get_xticks()) | ||
| ax.set_xticklabels( | ||
| categories, | ||
| fontsize=config["label_fontsize"], | ||
| rotation=config["rotation_angle"], | ||
| ha="right", | ||
| ) | ||
| ax.tick_params( | ||
| axis="x", which="both", direction="in" | ||
| ) # Set x-axis ticks direction to 'in' | ||
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| ax.set_yticks(ax.get_yticks()) | ||
| ax.set_yticklabels( | ||
| [f"{tick:.2f}" for tick in ax.get_yticks()], fontsize=config["label_fontsize"] | ||
| ) | ||
| ax.tick_params( | ||
| axis="y", which="both", direction="in" | ||
| ) # Set y-axis ticks direction to 'in' | ||
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| # Remove right and top spines | ||
| ax.spines["right"].set_visible(False) | ||
| ax.spines["top"].set_visible(False) | ||
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| # Set the color of dashed lines for right and top frame | ||
| ax.spines["right"].set_linestyle(config["line_style"]) | ||
| ax.spines["top"].set_linestyle(config["line_style"]) | ||
| ax.spines["right"].set_edgecolor(config["line_color"]) | ||
| ax.spines["top"].set_edgecolor(config["line_color"]) | ||
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| # Add dashed grid lines for both x-axis and y-axis ticks | ||
| ax.grid( | ||
| axis="both", | ||
| linestyle=config["line_style"], | ||
| linewidth=config["line_width"], | ||
| color=config["line_color"], | ||
| alpha=config["line_alpha"], | ||
| ) | ||
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| # Set labels and title | ||
| ax.set_xlabel(config["x_label"], fontsize=config["label_fontsize"]) | ||
| ax.set_ylabel(config["y_label"], fontsize=config["label_fontsize"]) | ||
| ax.set_title(config["plot_title"], fontsize=config["label_fontsize"]) | ||
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| # Save the plot with higher quality | ||
| plt.savefig(config["output_filename"], dpi=config["figure"]["dpi"], bbox_inches="tight") | ||
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| # Show the plot | ||
| plt.show() |
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