Elastic-forcing-code / 14B /configs /inference.yaml
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# Human/VLM-evaluated step-80 generator: four trained stages + terminal t=0.
# The auxiliary seed controls context-cache noise, independently of the video seed.
attention_type: softmax
causal: true
denoising_step_list:
- 1000
- 750
- 500
- 250
warp_denoising_step: true
num_train_timestep: 1000
timestep_shift: 5.0
denoising_loss_type: flow
mixed_precision: true
independent_first_frame: false
same_step_across_blocks: true
context_noise: 0
num_frame_per_block: 3
latent_video_shape:
- 1
- 21
- 16
- 60
- 104
guidance_scale: 1.0
negative_prompt: ''
model_kwargs:
model_name: Wan2.1-T2V-14B
timestep_shift: 5.0
inference_terminal_zero_cleanup: true
inference_train_matched_context_cache: true
inference_aux_noise_seed: 12345