CompVis · MushroomFleet · Sep 27, 2022 · Oct 8, 2022 · Oct 8, 2022 · Oct 8, 2022
diff --git a/README.md b/README.md
diff --git a/aesthetic_embeddings/aivazovsky.pt b/aesthetic_embeddings/aivazovsky.pt
diff --git a/aesthetic_embeddings/cloudcore.pt b/aesthetic_embeddings/cloudcore.pt
diff --git a/aesthetic_embeddings/gloomcore.pt b/aesthetic_embeddings/gloomcore.pt
diff --git a/aesthetic_embeddings/glowwave.pt b/aesthetic_embeddings/glowwave.pt
diff --git a/aesthetic_embeddings/laion_7plus.pt b/aesthetic_embeddings/laion_7plus.pt
diff --git a/aesthetic_embeddings/sac_8plus.pt b/aesthetic_embeddings/sac_8plus.pt
diff --git a/assets/grid-0033.png b/assets/grid-0033.png
diff --git a/assets/grid-0035.png b/assets/grid-0035.png
diff --git a/assets/grid-0043.png b/assets/grid-0043.png
diff --git a/assets/grid-0047.png b/assets/grid-0047.png
diff --git a/assets/grid-0072.png b/assets/grid-0072.png
diff --git a/assets/grid-0073.png b/assets/grid-0073.png
diff --git a/assets/grid-0075.png b/assets/grid-0075.png
diff --git a/assets/grid-0089.png b/assets/grid-0089.png
diff --git a/assets/grid-0091.png b/assets/grid-0091.png
diff --git a/assets/grid-0096.png b/assets/grid-0096.png
diff --git a/assets/grid-0097.png b/assets/grid-0097.png
diff --git a/assets/grid-0131.png b/assets/grid-0131.png
diff --git a/assets/grid-0133.png b/assets/grid-0133.png
diff --git a/assets/grid-0135.png b/assets/grid-0135.png
diff --git a/configs/stable-diffusion/v1-inference-aesthetic.yaml b/configs/stable-diffusion/v1-inference-aesthetic.yaml
@@ -0,0 +1,74 @@
+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: ldm.modules.encoders.modules.PersonalizedCLIPEmbedder
+      params:
+        aesthetic_embedding_path: "aesthetic_embeddings/sac_8plus.pt"
+        T: 3
+        lr: 0.0001