Download autoencoder/v2/autoencoder_config.yaml from aicentreflip/tutorials-brain-mri-latent-diffusion: direct link, hf CLI and curl.
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https://huggingface.co/aicentreflip/tutorials-brain-mri-latent-diffusion/resolve/main/autoencoder/v2/autoencoder_config.yaml
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hf download hf://aicentreflip/tutorials-brain-mri-latent-diffusion/autoencoder/v2/autoencoder_config.yaml
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621 Bytes
| # The frozen autoencoder in autoencoder.safetensors: the architecture every client builds, and the | |
| # fingerprint of its weights, in the form process_tools/extract_autoencoder.py writes. | |
| 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: 8576bf403e1ca857d4c2fc125ff89d5a1a42a99a77627a3fa33c3369c839b6d9 # pragma: allowlist secret | |