Upload AutoencoderKL

README.md

@@ -1,3 +1,4 @@
 ---
 license: mit
+library_name: diffusers
 ---

config.json

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+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.35.0",
+  "_name_or_path": "pretrained_models/e2e-sdvae-hf",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "force_upcast": true,
+  "in_channels": 3,
+  "latent_channels": 4,
+  "latents_mean": [
+    -0.007141876500099897,
+    0.026401447132229805,
+    0.039737917482852936,
+    -0.03475633263587952
+  ],
+  "latents_std": [
+    4.34716796875,
+    4.423871994018555,
+    4.436327934265137,
+    4.4168806076049805
+  ],
+  "layers_per_block": 2,
+  "mid_block_add_attention": true,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 512,
+  "scaling_factor": 0.18215,
+  "shift_factor": null,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ],
+  "use_post_quant_conv": true,
+  "use_quant_conv": true
+}

diffusion_pytorch_model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:8e0500b82d85441aad7de1ae3dfcb7f5ff7b7901a411a2bb6185a7356515fc87
+size 334643268