fluxdev/stable-diffusion-webui-forge

1# File modified by authors of InstructPix2Pix from original (https://github.com/CompVis/stable-diffusion).2# See more details in LICENSE.3 4model:5  base_learning_rate: 1.0e-046  target: modules.models.diffusion.ddpm_edit.LatentDiffusion7  params:8    linear_start: 0.000859    linear_end: 0.012010    num_timesteps_cond: 111    log_every_t: 20012    timesteps: 100013    first_stage_key: edited14    cond_stage_key: edit15    # image_size: 6416    # image_size: 3217    image_size: 1618    channels: 419    cond_stage_trainable: false   # Note: different from the one we trained before20    conditioning_key: hybrid21    monitor: val/loss_simple_ema22    scale_factor: 0.1821523    use_ema: false24 25    scheduler_config: # 10000 warmup steps26      target: ldm.lr_scheduler.LambdaLinearScheduler27      params:28        warm_up_steps: [ 0 ]29        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases30        f_start: [ 1.e-6 ]31        f_max: [ 1. ]32        f_min: [ 1. ]33 34    unet_config:35      target: ldm.modules.diffusionmodules.openaimodel.UNetModel36      params:37        image_size: 32 # unused38        in_channels: 839        out_channels: 440        model_channels: 32041        attention_resolutions: [ 4, 2, 1 ]42        num_res_blocks: 243        channel_mult: [ 1, 2, 4, 4 ]44        num_heads: 845        use_spatial_transformer: True46        transformer_depth: 147        context_dim: 76848        use_checkpoint: True49        legacy: False50 51    first_stage_config:52      target: ldm.models.autoencoder.AutoencoderKL53      params:54        embed_dim: 455        monitor: val/rec_loss56        ddconfig:57          double_z: true58          z_channels: 459          resolution: 25660          in_channels: 361          out_ch: 362          ch: 12863          ch_mult:64          - 165          - 266          - 467          - 468          num_res_blocks: 269          attn_resolutions: []70          dropout: 0.071        lossconfig:72          target: torch.nn.Identity73 74    cond_stage_config:75      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder76 77data:78  target: main.DataModuleFromConfig79  params:80    batch_size: 12881    num_workers: 182    wrap: false83    validation:84      target: edit_dataset.EditDataset85      params:86        path: data/clip-filtered-dataset87        cache_dir:  data/88        cache_name: data_10k89        split: val90        min_text_sim: 0.291        min_image_sim: 0.7592        min_direction_sim: 0.293        max_samples_per_prompt: 194        min_resize_res: 51295        max_resize_res: 51296        crop_res: 51297        output_as_edit: False98        real_input: True99