File size: 2,727 Bytes
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model: SanaMSVideoCamCtrl_1600M_P1_D20
image_size: 720
aspect_ratio_type: ASPECT_RATIO_VIDEO_720_MS_DIV32
mixed_precision: bf16
fp32_attention: true
multi_scale: true
camctrl_type: BidirectionalGDNUCPESinglePathLiteLABothTriton
attn_type: BidirectionalGDNTriton
softmax_every_n: 4
linear_head_dim: 112
conv_kernel_size: 4
k_conv_only: true
ffn_type: GLUMBConvTemp
t_kernel_size: 3
mlp_acts:
- silu
- silu
-
mlp_ratio: 3
use_pe: true
pos_embed_type: wan_rope
qk_norm: true
cross_norm: true
class_dropout_prob: 0.0
chunk_split_strategy: first_chunk_plus_one
cam_attn_compress: 1
init_cam_from_base: true
use_chunk_plucker_post_attn: true
chunk_plucker_channels: 48
chunk_plucker_post_attn_blocks: 20
vae:
vae_type: LTX2VAE_diffusers
# AutoencoderKLLTX2Video.from_pretrained(<root>, subfolder="vae") expects
# a parent directory containing a ``vae/`` diffusers folder. The public
# release repo hosts that ``vae/`` folder at its root.
vae_pretrained: hf://Efficient-Large-Model/SANA-WM_bidirectional
weight_dtype: bfloat16
vae_latent_dim: 128
vae_downsample_rate: 32
vae_stride: [8, 32, 32]
use_framewise_encoding: true
use_framewise_decoding: true
tile_sample_stride_num_frames: 64
tile_sample_min_num_frames: 96
text_encoder:
text_encoder_name: gemma-2-2b-it
y_norm: true
y_norm_scale_factor: 0.01
model_max_length: 300
chi_prompt:
- 'Given a user prompt, generate an "Enhanced prompt" that provides detailed visual descriptions suitable for image generation. Evaluate the level of detail in the user prompt:'
- '- If the prompt is simple, focus on adding specifics about colors, shapes, sizes, textures, and spatial relationships to create vivid and concrete scenes.'
- '- If the prompt is already detailed, refine and enhance the existing details slightly without overcomplicating.'
- 'Here are examples of how to transform or refine prompts:'
- '- User Prompt: A cat sleeping -> Enhanced: A small, fluffy white cat curled up in a round shape, sleeping peacefully on a warm sunny windowsill, surrounded by pots of blooming red flowers.'
- '- User Prompt: A busy city street -> Enhanced: A bustling city street scene at dusk, featuring glowing street lamps, a diverse crowd of people in colorful clothing, and a double-decker bus passing by towering glass skyscrapers.'
- 'Please generate only the enhanced description for the prompt below and avoid including any additional commentary or evaluations:'
- 'User Prompt: '
scheduler:
predict_flow_v: true
noise_schedule: linear_flow
pred_sigma: false
flow_shift: 9.95
inference_flow_shift: 9.8
vis_sampler: flow_dpm-solver
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