Text-to-Image
Diffusers
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Inference Endpoints
portrait-finetuned / vae /config.json
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{
"_class_name": "AutoencoderKL",
"_diffusers_version": "0.20.0.dev0",
"_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--SG161222--Realistic_Vision_V4.0/snapshots/c2ce281f57e54220379e82482708ea925f10770f/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,
"layers_per_block": 2,
"norm_num_groups": 32,
"out_channels": 3,
"sample_size": 512,
"scaling_factor": 0.18215,
"up_block_types": [
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D"
]
}