mirror of
https://github.com/Stability-AI/generative-models.git
synced 2026-01-14 19:14:27 +01:00
99 lines
2.5 KiB
YAML
99 lines
2.5 KiB
YAML
model:
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base_learning_rate: 1.0e-4
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target: sgm.models.diffusion.DiffusionEngine
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params:
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denoiser_config:
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target: sgm.modules.diffusionmodules.denoiser.Denoiser
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params:
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weighting_config:
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target: sgm.modules.diffusionmodules.denoiser_weighting.EDMWeighting
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params:
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sigma_data: 1.0
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scaling_config:
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target: sgm.modules.diffusionmodules.denoiser_scaling.EDMScaling
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params:
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sigma_data: 1.0
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network_config:
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target: sgm.modules.diffusionmodules.openaimodel.UNetModel
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params:
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use_checkpoint: True
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in_channels: 3
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out_channels: 3
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model_channels: 32
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attention_resolutions: []
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num_res_blocks: 4
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channel_mult: [1, 2, 2]
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num_head_channels: 32
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num_classes: sequential
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adm_in_channels: 128
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conditioner_config:
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target: sgm.modules.GeneralConditioner
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params:
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emb_models:
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- is_trainable: True
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input_key: cls
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ucg_rate: 0.2
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target: sgm.modules.encoders.modules.ClassEmbedder
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params:
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embed_dim: 128
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n_classes: 10
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first_stage_config:
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target: sgm.models.autoencoder.IdentityFirstStage
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loss_fn_config:
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target: sgm.modules.diffusionmodules.loss.StandardDiffusionLoss
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params:
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sigma_sampler_config:
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target: sgm.modules.diffusionmodules.sigma_sampling.EDMSampling
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sampler_config:
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target: sgm.modules.diffusionmodules.sampling.EulerEDMSampler
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params:
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num_steps: 50
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discretization_config:
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target: sgm.modules.diffusionmodules.discretizer.EDMDiscretization
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guider_config:
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target: sgm.modules.diffusionmodules.guiders.VanillaCFG
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params:
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scale: 3.0
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data:
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target: sgm.data.cifar10.CIFAR10Loader
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params:
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batch_size: 512
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num_workers: 1
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lightning:
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modelcheckpoint:
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params:
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every_n_train_steps: 5000
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callbacks:
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metrics_over_trainsteps_checkpoint:
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params:
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every_n_train_steps: 25000
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image_logger:
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target: main.ImageLogger
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params:
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disabled: False
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batch_frequency: 1000
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max_images: 64
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increase_log_steps: True
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log_first_step: False
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log_images_kwargs:
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use_ema_scope: False
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N: 64
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n_rows: 8
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trainer:
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devices: 0,
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benchmark: True
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num_sanity_val_steps: 0
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accumulate_grad_batches: 1
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max_epochs: 20 |