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vae/config.json CHANGED
@@ -1,16 +1,9 @@
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  {
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- "_class_name": "AsymmetricAutoencoderKL",
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- "_diffusers_version": "0.33.1",
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  "_name_or_path": "simple_vae",
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  "act_fn": "silu",
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  "block_out_channels": [
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- 256,
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- 768,
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- 768
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- "down_block_out_channels": [
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  128,
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  256,
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  512,
@@ -25,24 +18,21 @@
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  "force_upcast": false,
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  "in_channels": 3,
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  "latent_channels": 16,
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- "layers_per_down_block": 2,
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- "layers_per_up_block": 2,
 
 
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  "norm_num_groups": 32,
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  "out_channels": 3,
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  "sample_size": 1024,
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- "scaling_factor": 1,
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- "up_block_out_channels": [
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- 256,
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- 512,
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- 768,
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- 768
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- ],
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  "up_block_types": [
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  "UpDecoderBlock2D",
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  "UpDecoderBlock2D",
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  "UpDecoderBlock2D",
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- "UpDecoderBlock2D",
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  "UpDecoderBlock2D"
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- ]
 
 
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  }
 
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  {
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+ "_class_name": "AutoencoderKL",
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+ "_diffusers_version": "0.35.0.dev0",
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  "_name_or_path": "simple_vae",
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  "act_fn": "silu",
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  "block_out_channels": [
 
 
 
 
 
 
 
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  128,
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  256,
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  512,
 
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  "force_upcast": false,
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  "in_channels": 3,
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  "latent_channels": 16,
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+ "latents_std": null,
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+ "layers_per_block": 2,
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+ "mid_block_add_attention": true,
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  "norm_num_groups": 32,
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  "out_channels": 3,
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  "sample_size": 1024,
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+ "scaling_factor": 1.0,
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+ "shift_factor": 0,
 
 
 
 
 
 
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  "up_block_types": [
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  "UpDecoderBlock2D",
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  "UpDecoderBlock2D",
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  "UpDecoderBlock2D",
 
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  "UpDecoderBlock2D"
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+ ],
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+ "use_post_quant_conv": true,
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+ "use_quant_conv": true
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  }
vae/diffusion_pytorch_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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