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| author | AUTOMATIC <16777216c@gmail.com> | 2022-12-31 18:06:35 +0300 |
|---|---|---|
| committer | AUTOMATIC <16777216c@gmail.com> | 2022-12-31 18:06:35 +0300 |
| commit | f34c7341720fb2059992926c9f9ae6ff25f7385b (patch) | |
| tree | be719a629f8754c206d891b1850f0b5eaf186e2e /configs/altdiffusion/ad-inference.yaml | |
| parent | 3f401cdb644066fd43abf6642d2e53be53c73668 (diff) | |
| download | stable-diffusion-webui-gfx803-f34c7341720fb2059992926c9f9ae6ff25f7385b.tar.gz | |
alt-diffusion integration
Diffstat (limited to 'configs/altdiffusion/ad-inference.yaml')
| -rw-r--r-- | configs/altdiffusion/ad-inference.yaml | 72 |
1 files changed, 0 insertions, 72 deletions
diff --git a/configs/altdiffusion/ad-inference.yaml b/configs/altdiffusion/ad-inference.yaml deleted file mode 100644 index cfbee72d..00000000 --- a/configs/altdiffusion/ad-inference.yaml +++ /dev/null @@ -1,72 +0,0 @@ -model: - base_learning_rate: 1.0e-04 - 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: "jpg" - cond_stage_key: "txt" - image_size: 64 - channels: 4 - cond_stage_trainable: false # Note: different from the one we trained before - conditioning_key: crossattn - monitor: val/loss_simple_ema - scale_factor: 0.18215 - use_ema: False - - scheduler_config: # 10000 warmup steps - target: ldm.lr_scheduler.LambdaLinearScheduler - params: - warm_up_steps: [ 10000 ] - cycle_lengths: [ 10000000000000 ] # incredibly large number to prevent corner cases - f_start: [ 1.e-6 ] - f_max: [ 1. ] - f_min: [ 1. ] - - unet_config: - target: ldm.modules.diffusionmodules.openaimodel.UNetModel - params: - image_size: 32 # unused - 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: 768 - 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: modules.xlmr.BertSeriesModelWithTransformation - params: - name: "XLMR-Large"
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