model / vae /config.json
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{
"_class_name": "AutoencoderKL",
"_diffusers_version": "0.31.0.dev0",
"_name_or_path": "C:\\Users\\forkt\\.cache\\huggingface\\hub\\models--runwayml--stable-diffusion-v1-5\\snapshots\\f03de327dd89b501a01da37fc5240cf4fdba85a1\\vae",
"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": null,
"latents_std": null,
"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
}