fluxdev/stable-diffusion-webui-forge

1model:2  base_learning_rate: 1.0e-043  target: ldm.models.diffusion.ddpm.LatentDiffusion4  params:5    linear_start: 0.000856    linear_end: 0.01207    num_timesteps_cond: 18    log_every_t: 2009    timesteps: 100010    first_stage_key: "jpg"11    cond_stage_key: "txt"12    image_size: 6413    channels: 414    cond_stage_trainable: false   # Note: different from the one we trained before15    conditioning_key: crossattn16    monitor: val/loss_simple_ema17    scale_factor: 0.1821518    use_ema: False19 20    scheduler_config: # 10000 warmup steps21      target: ldm.lr_scheduler.LambdaLinearScheduler22      params:23        warm_up_steps: [ 10000 ]24        cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases25        f_start: [ 1.e-6 ]26        f_max: [ 1. ]27        f_min: [ 1. ]28 29    unet_config:30      target: ldm.modules.diffusionmodules.openaimodel.UNetModel31      params:32        image_size: 32 # unused33        in_channels: 434        out_channels: 435        model_channels: 32036        attention_resolutions: [ 4, 2, 1 ]37        num_res_blocks: 238        channel_mult: [ 1, 2, 4, 4 ]39        num_heads: 840        use_spatial_transformer: True41        transformer_depth: 142        context_dim: 76843        use_checkpoint: True44        legacy: False45 46    first_stage_config:47      target: ldm.models.autoencoder.AutoencoderKL48      params:49        embed_dim: 450        monitor: val/rec_loss51        ddconfig:52          double_z: true53          z_channels: 454          resolution: 25655          in_channels: 356          out_ch: 357          ch: 12858          ch_mult:59          - 160          - 261          - 462          - 463          num_res_blocks: 264          attn_resolutions: []65          dropout: 0.066        lossconfig:67          target: torch.nn.Identity68 69    cond_stage_config:70      target: ldm.modules.encoders.modules.FrozenCLIPEmbedder71