matthieu-v2-pipe / vae /config.json
jplumail
end of training. runwayml/stable-diffusion-v1-5. vae from stabilityai/sd-vae-ft-mse. lr=5e-7. 4000 steps. batch size=2. mixed precision. trained text encoder. 1k reg images. 50 instance images.
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{
"_class_name": "AutoencoderKL",
"_diffusers_version": "0.12.0.dev0",
"_name_or_path": "/root/.cache/huggingface/diffusers/models--runwayml--stable-diffusion-v1-5/snapshots/889b629140e71758e1e0006e355c331a5744b4bf/vae",
"act_fn": "silu",
"block_out_channels": [
128,
256,
512,
512
],
"down_block_types": [
"DownEncoderBlock2D",
"DownEncoderBlock2D",
"DownEncoderBlock2D",
"DownEncoderBlock2D"
],
"in_channels": 3,
"latent_channels": 4,
"layers_per_block": 2,
"norm_num_groups": 32,
"out_channels": 3,
"sample_size": 512,
"up_block_types": [
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D",
"UpDecoderBlock2D"
]
}