Download diffusion/v2.1_ldm/code/autoencoder_config.yaml from aicentreflip/tutorials-brain-mri-latent-diffusion: direct link, hf CLI and curl.
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- Download file 639 Bytes
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https://huggingface.co/aicentreflip/tutorials-brain-mri-latent-diffusion/resolve/main/diffusion/v2.1_ldm/code/autoencoder_config.yaml
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hf download hf://aicentreflip/tutorials-brain-mri-latent-diffusion/diffusion/v2.1_ldm/code/autoencoder_config.yaml
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curl -L -o autoencoder_config.yaml https://huggingface.co/aicentreflip/tutorials-brain-mri-latent-diffusion/resolve/main/diffusion/v2.1_ldm/code/autoencoder_config.yaml
639 Bytes
| # The frozen autoencoder in pretrained_autoencoder.pt: the architecture every client builds, and the | |
| # fingerprint of its weights. Written by process_tools/extract_autoencoder.py; regenerate, don't edit. | |
| autoencoder: | |
| spatial_dims: 3 | |
| in_channels: 1 | |
| out_channels: 1 | |
| num_res_blocks: | |
| - 2 | |
| - 2 | |
| - 2 | |
| channels: | |
| - 64 | |
| - 128 | |
| - 256 | |
| attention_levels: | |
| - false | |
| - false | |
| - false | |
| latent_channels: 3 | |
| norm_num_groups: 32 | |
| norm_eps: 1.0e-06 | |
| with_encoder_nonlocal_attn: false | |
| with_decoder_nonlocal_attn: false | |
| autoencoder_sha256: 3b5fe99af0d7fbbfe94343e24c82a200373f5d17f90c639aa9773a87b5f25a42 # pragma: allowlist secret | |