cryofm-v1 / cryofm-s /config.yaml
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Add CryoFM model weights and configurations
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ckpt_path: null
ddpm:
prediction_type: v_prediction
exp_name: 64-hdit_fm_scale_bf16
hdit_model:
depths:
- 4
- 8
input_channels: 1
input_size:
- 64
- 64
- 64
patch_size:
- 4
- 4
- 4
self_attns:
- d_head: 64
kernel_size: 7
type: neighborhood
- d_head: 64
type: global
type: image_transformer_v2
widths:
- 768
- 1536
keep_last_k: null
mode: train
model_type: hdit
num_val_samples: 3
optimizer:
lr: 0.0001
warmup: 2000
patch_size: 64
process: fm
seed: 42
work_dir: work_dirs/64-hdit_fm_scale_bf16_00
z_crop: null
z_scale:
mean: 0.04
std: 0.09