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Runtime error
| model: | |
| base_learning_rate: 5.0e-05 | |
| target: ldm.models.diffusion.ddpm.LatentInpaintDiffusion | |
| params: | |
| linear_start: 0.00085 | |
| linear_end: 0.0120 | |
| num_timesteps_cond: 1 | |
| log_every_t: 200 | |
| timesteps: 1000 | |
| first_stage_key: "jpg" | |
| cond_stage_key: "txt" | |
| image_size: 64 | |
| channels: 4 | |
| cond_stage_trainable: false | |
| conditioning_key: hybrid | |
| scale_factor: 0.18215 | |
| monitor: val/loss_simple_ema | |
| finetune_keys: null | |
| use_ema: False | |
| unet_config: | |
| target: ldm.modules.diffusionmodules.openaimodel.UNetModel | |
| params: | |
| use_checkpoint: True | |
| image_size: 32 # unused | |
| in_channels: 9 | |
| out_channels: 4 | |
| model_channels: 320 | |
| attention_resolutions: [ 4, 2, 1 ] | |
| num_res_blocks: 2 | |
| channel_mult: [ 1, 2, 4, 4 ] | |
| num_head_channels: 64 # need to fix for flash-attn | |
| use_spatial_transformer: True | |
| use_linear_in_transformer: True | |
| transformer_depth: 1 | |
| context_dim: 1024 | |
| legacy: False | |
| first_stage_config: | |
| target: ldm.models.autoencoder.AutoencoderKL | |
| params: | |
| embed_dim: 4 | |
| monitor: val/rec_loss | |
| ddconfig: | |
| #attn_type: "vanilla-xformers" | |
| double_z: true | |
| z_channels: 4 | |
| resolution: 256 | |
| in_channels: 3 | |
| out_ch: 3 | |
| ch: 128 | |
| ch_mult: | |
| - 1 | |
| - 2 | |
| - 4 | |
| - 4 | |
| num_res_blocks: 2 | |
| attn_resolutions: [ ] | |
| dropout: 0.0 | |
| lossconfig: | |
| target: torch.nn.Identity | |
| cond_stage_config: | |
| target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder | |
| params: | |
| freeze: True | |
| layer: "penultimate" | |
| data: | |
| target: ldm.data.laion.WebDataModuleFromConfig | |
| params: | |
| tar_base: null # for concat as in LAION-A | |
| p_unsafe_threshold: 0.1 | |
| filter_word_list: "data/filters.yaml" | |
| max_pwatermark: 0.45 | |
| batch_size: 8 | |
| num_workers: 6 | |
| multinode: True | |
| min_size: 512 | |
| train: | |
| shards: | |
| - "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-0/{00000..18699}.tar -" | |
| - "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-1/{00000..18699}.tar -" | |
| - "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-2/{00000..18699}.tar -" | |
| - "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-3/{00000..18699}.tar -" | |
| - "pipe:aws s3 cp s3://stability-aws/laion-a-native/part-4/{00000..18699}.tar -" #{00000-94333}.tar" | |
| shuffle: 10000 | |
| image_key: jpg | |
| image_transforms: | |
| - target: torchvision.transforms.Resize | |
| params: | |
| size: 512 | |
| interpolation: 3 | |
| - target: torchvision.transforms.RandomCrop | |
| params: | |
| size: 512 | |
| postprocess: | |
| target: ldm.data.laion.AddMask | |
| params: | |
| mode: "512train-large" | |
| p_drop: 0.25 | |
| # NOTE use enough shards to avoid empty validation loops in workers | |
| validation: | |
| shards: | |
| - "pipe:aws s3 cp s3://deep-floyd-s3/datasets/laion_cleaned-part5/{93001..94333}.tar - " | |
| shuffle: 0 | |
| image_key: jpg | |
| image_transforms: | |
| - target: torchvision.transforms.Resize | |
| params: | |
| size: 512 | |
| interpolation: 3 | |
| - target: torchvision.transforms.CenterCrop | |
| params: | |
| size: 512 | |
| postprocess: | |
| target: ldm.data.laion.AddMask | |
| params: | |
| mode: "512train-large" | |
| p_drop: 0.25 | |
| lightning: | |
| find_unused_parameters: True | |
| modelcheckpoint: | |
| params: | |
| every_n_train_steps: 5000 | |
| callbacks: | |
| metrics_over_trainsteps_checkpoint: | |
| params: | |
| every_n_train_steps: 10000 | |
| image_logger: | |
| target: main.ImageLogger | |
| params: | |
| enable_autocast: False | |
| disabled: False | |
| batch_frequency: 1000 | |
| max_images: 4 | |
| increase_log_steps: False | |
| log_first_step: False | |
| log_images_kwargs: | |
| use_ema_scope: False | |
| inpaint: False | |
| plot_progressive_rows: False | |
| plot_diffusion_rows: False | |
| N: 4 | |
| unconditional_guidance_scale: 5.0 | |
| unconditional_guidance_label: [""] | |
| ddim_steps: 50 # todo check these out for depth2img, | |
| ddim_eta: 0.0 # todo check these out for depth2img, | |
| trainer: | |
| benchmark: True | |
| val_check_interval: 5000000 | |
| num_sanity_val_steps: 0 | |
| accumulate_grad_batches: 1 | |