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https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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Merge pull request #7022 from mezotaken/master
X/Y plot: Fix auto fill and repair separate axis options
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commit
bd4a24e0f9
@ -165,10 +165,14 @@ class AxisOption:
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self.confirm = confirm
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self.cost = cost
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self.choices = choices
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self.is_img2img = False
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class AxisOptionImg2Img(AxisOption):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.is_img2img = True
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class AxisOptionTxt2Img(AxisOption):
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def __init__(self, *args, **kwargs):
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super().__init__(*args, **kwargs)
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self.is_img2img = False
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@ -183,7 +187,8 @@ axis_options = [
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AxisOption("CFG Scale", float, apply_field("cfg_scale")),
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AxisOption("Prompt S/R", str, apply_prompt, format_value=format_value),
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AxisOption("Prompt order", str_permutations, apply_order, format_value=format_value_join_list),
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AxisOption("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]),
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AxisOptionTxt2Img("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers]),
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AxisOptionImg2Img("Sampler", str, apply_sampler, format_value=format_value, confirm=confirm_samplers, choices=lambda: [x.name for x in sd_samplers.samplers_for_img2img]),
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AxisOption("Checkpoint name", str, apply_checkpoint, format_value=format_value, confirm=confirm_checkpoints, cost=1.0, choices=lambda: list(sd_models.checkpoints_list)),
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AxisOption("Sigma Churn", float, apply_field("s_churn")),
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AxisOption("Sigma min", float, apply_field("s_tmin")),
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@ -192,8 +197,8 @@ axis_options = [
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AxisOption("Eta", float, apply_field("eta")),
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AxisOption("Clip skip", int, apply_clip_skip),
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AxisOption("Denoising", float, apply_field("denoising_strength")),
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AxisOption("Hires upscaler", str, apply_field("hr_upscaler"), choices=lambda: [x.name for x in shared.sd_upscalers]),
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AxisOption("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight")),
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AxisOptionTxt2Img("Hires upscaler", str, apply_field("hr_upscaler"), choices=lambda: [*shared.latent_upscale_modes, *[x.name for x in shared.sd_upscalers]]),
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AxisOptionImg2Img("Cond. Image Mask Weight", float, apply_field("inpainting_mask_weight")),
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AxisOption("VAE", str, apply_vae, cost=0.7, choices=lambda: list(sd_vae.vae_dict)),
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AxisOption("Styles", str, apply_styles, choices=lambda: list(shared.prompt_styles.styles)),
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]
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@ -288,7 +293,7 @@ class Script(scripts.Script):
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return "X/Y plot"
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def ui(self, is_img2img):
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current_axis_options = [x for x in axis_options if type(x) == AxisOption or x.is_img2img and is_img2img]
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current_axis_options = [x for x in axis_options if type(x) == AxisOption or x.is_img2img == is_img2img]
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with gr.Row():
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with gr.Column(scale=19):
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@ -316,14 +321,14 @@ class Script(scripts.Script):
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swap_axes_button.click(swap_axes, inputs=swap_args, outputs=swap_args)
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def fill(x_type):
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axis = axis_options[x_type]
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axis = current_axis_options[x_type]
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return ", ".join(axis.choices()) if axis.choices else gr.update()
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fill_x_button.click(fn=fill, inputs=[x_type], outputs=[x_values])
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fill_y_button.click(fn=fill, inputs=[y_type], outputs=[y_values])
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def select_axis(x_type):
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return gr.Button.update(visible=axis_options[x_type].choices is not None)
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return gr.Button.update(visible=current_axis_options[x_type].choices is not None)
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x_type.change(fn=select_axis, inputs=[x_type], outputs=[fill_x_button])
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y_type.change(fn=select_axis, inputs=[y_type], outputs=[fill_y_button])
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