use Schedule instead of Sched
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@ -306,17 +306,17 @@ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model
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if "RNG" not in res:
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res["RNG"] = "GPU"
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if "KDiff Sched Type" not in res:
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res["KDiff Sched Type"] = "Automatic"
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if "KDiff Schedule Type" not in res:
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res["KDiff Schedule Type"] = "Automatic"
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if "KDiff Sched max sigma" not in res:
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res["KDiff Sched max sigma"] = 14.6
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if "KDiff Schedule max sigma" not in res:
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res["KDiff Schedule max sigma"] = 14.6
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if "KDiff Sched min sigma" not in res:
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res["KDiff Sched min sigma"] = 0.3
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if "KDiff Schedule min sigma" not in res:
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res["KDiff Schedule min sigma"] = 0.3
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if "KDiff Sched rho" not in res:
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res["KDiff Sched rho"] = 7.0
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if "KDiff Schedule rho" not in res:
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res["KDiff Schedule rho"] = 7.0
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return res
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@ -330,10 +330,10 @@ infotext_to_setting_name_mapping = [
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('Conditional mask weight', 'inpainting_mask_weight'),
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('Model hash', 'sd_model_checkpoint'),
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('ENSD', 'eta_noise_seed_delta'),
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('KDiff Sched Type', 'k_sched_type'),
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('KDiff Sched max sigma', 'sigma_max'),
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('KDiff Sched min sigma', 'sigma_min'),
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('KDiff Sched rho', 'rho'),
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('KDiff Schedule Type', 'k_sched_type'),
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('KDiff Schedule max sigma', 'sigma_max'),
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('KDiff Schedule min sigma', 'sigma_min'),
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('KDiff Schedule rho', 'rho'),
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('Noise multiplier', 'initial_noise_multiplier'),
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('Eta', 'eta_ancestral'),
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('Eta DDIM', 'eta_ddim'),
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@ -328,18 +328,18 @@ class KDiffusionSampler:
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}
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sigmas_func = k_diffusion_scheduler[opts.k_sched_type]
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p.extra_generation_params["KDiff Sched Type"] = opts.k_sched_type
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p.extra_generation_params["KDiff Schedule Type"] = opts.k_sched_type
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if opts.sigma_min != 0.3:
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# take 0.0 as model default
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sigmas_kwargs['sigma_min'] = opts.sigma_min or m_sigma_min
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p.extra_generation_params["KDiff Sched min sigma"] = opts.sigma_min
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p.extra_generation_params["KDiff Schedule min sigma"] = opts.sigma_min
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if opts.sigma_max != 14.6:
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sigmas_kwargs['sigma_max'] = opts.sigma_max or m_sigma_max
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p.extra_generation_params["KDiff Sched max sigma"] = opts.sigma_max
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p.extra_generation_params["KDiff Schedule max sigma"] = opts.sigma_max
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if opts.k_sched_type != 'exponential':
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sigmas_kwargs['rho'] = opts.rho
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p.extra_generation_params["KDiff Sched rho"] = opts.rho
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p.extra_generation_params["KDiff Schedule rho"] = opts.rho
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sigmas = sigmas_func(n=steps, **sigmas_kwargs, device=shared.device)
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elif self.config is not None and self.config.options.get('scheduler', None) == 'karras':
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@ -220,10 +220,10 @@ axis_options = [
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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 noise", float, apply_field("s_noise")),
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AxisOption("KDiff Sched Type", str, apply_override("k_sched_type"), choices=lambda: list(sd_samplers_kdiffusion.k_diffusion_scheduler)),
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AxisOption("KDiff Sched min sigma", float, apply_override("sigma_min")),
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AxisOption("KDiff Sched max sigma", float, apply_override("sigma_max")),
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AxisOption("KDiff Sched rho", float, apply_override("rho")),
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AxisOption("KDiff Schedule Type", str, apply_override("k_sched_type"), choices=lambda: list(sd_samplers_kdiffusion.k_diffusion_scheduler)),
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AxisOption("KDiff Schedule min sigma", float, apply_override("sigma_min")),
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AxisOption("KDiff Schedule max sigma", float, apply_override("sigma_max")),
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AxisOption("KDiff Schedule rho", float, apply_override("rho")),
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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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