update vae
Browse files- model_index.json +40 -0
- vae/config.json +38 -0
- vae/diffusion_pytorch_model.safetensors +3 -0
model_index.json
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{
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"_class_name": "StableDiffusion3Pipeline",
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"_diffusers_version": "0.30.3.dev0",
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"scheduler": [
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"diffusers",
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"FlowMatchEulerDiscreteScheduler"
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],
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"text_encoder": [
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"transformers",
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"CLIPTextModelWithProjection"
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],
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"text_encoder_2": [
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"transformers",
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"CLIPTextModelWithProjection"
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],
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"text_encoder_3": [
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"transformers",
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"T5EncoderModel"
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],
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"tokenizer": [
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"transformers",
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"CLIPTokenizer"
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],
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"tokenizer_2": [
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"transformers",
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"CLIPTokenizer"
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],
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"tokenizer_3": [
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"transformers",
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"T5TokenizerFast"
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],
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"transformer": [
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"diffusers",
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"SD3Transformer2DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.31.0.dev0",
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"_name_or_path": "../sdxl-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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512
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],
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"down_block_types": [
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D"
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],
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"force_upcast": true,
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"in_channels": 3,
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"latent_channels": 16,
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"latents_mean": null,
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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": 1.5305,
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"shift_factor": 0.0609,
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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": false,
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"use_quant_conv": false
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}
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vae/diffusion_pytorch_model.safetensors
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:8f53304a79335b55e13ec50f63e5157fee4deb2f30d5fae0654e2b2653c109dc
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size 167666902
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