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| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-01-04 16:56:35 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-01-04 16:56:35 +0000 |
| commit | eeb1de4388773ba92b9920a4f64eb91add2e02ca (patch) | |
| tree | 22f5d5e7417f24599a415fd64c9f1652495ce5a3 /v2-inference-v.yaml | |
| parent | d85c2cb2d59f64cbb510a9e5596596de2e4f4dcc (diff) | |
| parent | b7deea47eeb033052062621b0005d4321b53bff7 (diff) | |
| download | stable-diffusion-webui-gfx803-eeb1de4388773ba92b9920a4f64eb91add2e02ca.tar.gz stable-diffusion-webui-gfx803-eeb1de4388773ba92b9920a4f64eb91add2e02ca.tar.bz2 stable-diffusion-webui-gfx803-eeb1de4388773ba92b9920a4f64eb91add2e02ca.zip | |
Merge branch 'master' into gradient-clipping
Diffstat (limited to 'v2-inference-v.yaml')
| -rw-r--r-- | v2-inference-v.yaml | 68 |
1 files changed, 68 insertions, 0 deletions
diff --git a/v2-inference-v.yaml b/v2-inference-v.yaml new file mode 100644 index 00000000..513cd635 --- /dev/null +++ b/v2-inference-v.yaml @@ -0,0 +1,68 @@ +model: + base_learning_rate: 1.0e-4 + target: ldm.models.diffusion.ddpm.LatentDiffusion + params: + parameterization: "v" + 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: crossattn + monitor: val/loss_simple_ema + scale_factor: 0.18215 + use_ema: False # we set this to false because this is an inference only config + + unet_config: + target: ldm.modules.diffusionmodules.openaimodel.UNetModel + params: + use_checkpoint: True + use_fp16: True + 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_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"
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