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| author | brkirch <brkirch@users.noreply.github.com> | 2023-01-04 05:40:16 +0000 |
|---|---|---|
| committer | brkirch <brkirch@users.noreply.github.com> | 2023-01-06 05:14:20 +0000 |
| commit | f6ab5a39d762a7791573d1c52ae5a3024b10e8ed (patch) | |
| tree | c3958d77a6dae42457b571dbe0f1efec7ce45dd2 /v2-inference-v.yaml | |
| parent | d782a95967c9eea753df3333cd1954b6ec73eba0 (diff) | |
| parent | 3e22e294135ed0327ce9d9738655ff03c53df3c0 (diff) | |
| download | stable-diffusion-webui-gfx803-f6ab5a39d762a7791573d1c52ae5a3024b10e8ed.tar.gz stable-diffusion-webui-gfx803-f6ab5a39d762a7791573d1c52ae5a3024b10e8ed.tar.bz2 stable-diffusion-webui-gfx803-f6ab5a39d762a7791573d1c52ae5a3024b10e8ed.zip | |
Merge branch 'AUTOMATIC1111:master' into sub-quad_attn_opt
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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