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@@ -11,7 +11,7 @@ import numpy as np
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import modules.scripts as scripts
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import modules.scripts as scripts
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import gradio as gr
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import gradio as gr
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-from modules import images, sd_samplers, processing, sd_models, sd_vae, sd_samplers_kdiffusion, errors
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+from modules import images, sd_samplers, processing, sd_models, sd_vae, sd_schedulers, errors
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from modules.processing import process_images, Processed, StableDiffusionProcessingTxt2Img
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from modules.processing import process_images, Processed, StableDiffusionProcessingTxt2Img
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from modules.shared import opts, state
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from modules.shared import opts, state
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import modules.shared as shared
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import modules.shared as shared
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@@ -248,7 +248,7 @@ axis_options = [
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AxisOption("Sigma min", float, apply_field("s_tmin")),
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AxisOption("Sigma min", float, apply_field("s_tmin")),
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AxisOption("Sigma max", float, apply_field("s_tmax")),
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AxisOption("Sigma max", float, apply_field("s_tmax")),
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AxisOption("Sigma noise", float, apply_field("s_noise")),
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AxisOption("Sigma noise", float, apply_field("s_noise")),
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- AxisOption("Schedule type", str, apply_override("k_sched_type"), choices=lambda: list(sd_samplers_kdiffusion.k_diffusion_scheduler)),
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+ AxisOption("Schedule type", str, apply_field("scheduler"), choices=lambda: [x.label for x in sd_schedulers.schedulers]),
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AxisOption("Schedule min sigma", float, apply_override("sigma_min")),
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AxisOption("Schedule min sigma", float, apply_override("sigma_min")),
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AxisOption("Schedule max sigma", float, apply_override("sigma_max")),
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AxisOption("Schedule max sigma", float, apply_override("sigma_max")),
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AxisOption("Schedule rho", float, apply_override("rho")),
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AxisOption("Schedule rho", float, apply_override("rho")),
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