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Runtime error
| model: | |
| base_learning_rate: 1.0e-5 | |
| target: ldm.models.diffusion.ddpm.LatentDiffusion | |
| params: | |
| linear_start: 0.00085 | |
| linear_end: 0.0120 | |
| num_timesteps_cond: 1 | |
| log_every_t: 200 | |
| timesteps: 1000 | |
| first_stage_key: "image" | |
| cond_stage_key: "caption" | |
| image_size: 32 | |
| channels: 4 | |
| cond_stage_trainable: False | |
| conditioning_key: crossattn | |
| monitor: val/loss_simple_ema | |
| scale_factor: 0.18215 | |
| use_ema: False | |
| weight_disc: 0.01 | |
| unet_config: | |
| target: ldm.modules.diffusionmodules.openaimodel.UNetModel | |
| params: | |
| image_size: 32 | |
| in_channels: 4 | |
| out_channels: 4 | |
| model_channels: 320 | |
| attention_resolutions: [ 4, 2, 1 ] | |
| num_res_blocks: 2 | |
| channel_mult: [ 1, 2, 4, 4 ] | |
| num_heads: 8 | |
| use_spatial_transformer: True | |
| transformer_depth: 1 | |
| context_dim: 1280 | |
| use_checkpoint: True | |
| legacy: False | |
| first_stage_config: | |
| target: ldm.models.autoencoder.AutoencoderKL | |
| params: | |
| embed_dim: 4 | |
| monitor: val/rec_loss | |
| ddconfig: | |
| 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.BERTEmbedder | |
| params: | |
| n_embed: 1280 | |
| n_layer: 32 | |
| device: "cuda" | |
| # discriminator_config: | |
| # target: ldm.modules.discriminator.Discriminator | |
| # params: | |
| # bnorm: True | |
| # leakyparam: 0.2 | |
| # bias: False | |
| # generic: True | |
| data: | |
| target: main.DataModuleFromConfig | |
| params: | |
| batch_size: 1 | |
| num_workers: 32 | |
| wrap: false | |
| train: | |
| target: ldm.data.rasterizer.Rasterizer | |
| params: | |
| img_size: 256 | |
| text: "R" | |
| style_word: "DRAGON" | |
| data_path: "data/cat" | |
| alternate_glyph: None | |
| num_samples: 2001 | |
| make_black: False | |
| one_font: False | |
| full_word: False | |
| font_name: "Garuda-Bold.ttf" | |
| just_use_style: false | |
| use_alt: False | |
| validation: | |
| target: ldm.data.rasterizer.Rasterizer | |
| params: | |
| img_size: 256 | |
| text: "R" | |
| style_word: "DRAGON" | |
| data_path: "data/cat" | |
| alternate_glyph: None | |
| num_samples: 5 | |
| make_black: False | |
| one_font: False | |
| full_word: False | |
| font_name: "Garuda-Bold.ttf" | |
| just_use_style: false | |
| use_alt: False | |
| lightning: | |
| modelcheckpoint: | |
| params: | |
| every_n_train_steps: 5000 | |
| callbacks: | |
| image_logger: | |
| target: main.ImageLogger | |
| params: | |
| batch_frequency: 1000 | |
| max_images: 1 | |
| increase_log_steps: False | |
| trainer: | |
| benchmark: True | |
| max_steps: 500 |