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https://github.com/vladmandic/automatic
synced 2026-09-19 01:04:32 +02:00
update ip-adapter, schedulers and xyz-grid
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@@ -26,7 +26,7 @@ except Exception as e:
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config = {
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# beta_start, beta_end are typically per-scheduler, but we don't want them as they should be taken from the model itself as those are values model was trained on
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# prediction_type is ideally set in model as well, but it maybe needed that we do auto-detect of model type in the future
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'All': { 'num_train_timesteps': 1000, 'beta_start': 0.0001, 'beta_end': 0.02, 'beta_schedule': 'linear', 'prediction_type': 'epsilon' },
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'All': { 'num_train_timesteps': 500, 'beta_start': 0.0001, 'beta_end': 0.02, 'beta_schedule': 'linear', 'prediction_type': 'epsilon' },
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'DDIM': { 'clip_sample': True, 'set_alpha_to_one': True, 'steps_offset': 0, 'clip_sample_range': 1.0, 'sample_max_value': 1.0, 'timestep_spacing': 'linspace', 'rescale_betas_zero_snr': False },
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'DDPM': { 'variance_type': "fixed_small", 'clip_sample': True, 'thresholding': False, 'clip_sample_range': 1.0, 'sample_max_value': 1.0, 'timestep_spacing': 'linspace'},
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'DEIS': { 'solver_order': 2, 'thresholding': False, 'sample_max_value': 1.0, 'algorithm_type': "deis", 'solver_type': "logrho", 'lower_order_final': True },
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@@ -34,14 +34,14 @@ config = {
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'DPM++ 2M': { 'thresholding': False, 'sample_max_value': 1.0, 'algorithm_type': "dpmsolver++", 'solver_type': "midpoint", 'lower_order_final': True, 'use_karras_sigmas': False },
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'DPM SDE': { 'use_karras_sigmas': False },
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'Euler a': { },
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'Euler': { 'interpolation_type': "linear", 'use_karras_sigmas': False },
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'Euler': { 'interpolation_type': "linear", 'use_karras_sigmas': False, 'rescale_betas_zero_snr': False },
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'Heun': { 'use_karras_sigmas': False },
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'KDPM2': { 'steps_offset': 0 },
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'KDPM2 a': { 'steps_offset': 0 },
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'LMSD': { 'use_karras_sigmas': False, 'timestep_spacing': 'linspace', 'steps_offset': 0 },
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'PNDM': { 'skip_prk_steps': False, 'set_alpha_to_one': False, 'steps_offset': 0 },
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'UniPC': { 'solver_order': 2, 'thresholding': False, 'sample_max_value': 1.0, 'predict_x0': 'bh2', 'lower_order_final': True },
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'LCM': { 'num_train_timesteps': 1000, 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': "scaled_linear", 'set_alpha_to_one': True, 'rescale_betas_zero_snr': False },
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'LCM': { 'beta_start': 0.00085, 'beta_end': 0.012, 'beta_schedule': "scaled_linear", 'set_alpha_to_one': True, 'rescale_betas_zero_snr': False },
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}
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samplers_data_diffusers = [
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@@ -108,6 +108,10 @@ class DiffusionSampler:
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self.config['beta_start'] = shared.opts.schedulers_beta_start
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if 'beta_end' in self.config and shared.opts.schedulers_beta_end > 0:
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self.config['beta_end'] = shared.opts.schedulers_beta_end
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if 'rescale_betas_zero_snr' in self.config:
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self.config['rescale_betas_zero_snr'] = shared.opts.schedulers_rescale_betas
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if 'num_train_timesteps' in self.config:
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self.config['num_train_timesteps'] = shared.opts.schedulers_timesteps_range
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if name == 'DPM++ 2M':
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self.config['algorithm_type'] = shared.opts.schedulers_dpm_solver
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if name == 'DEIS':
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