scheduler: | |
target: diffusers.DDIMScheduler | |
num_inference_steps: 50 | |
eta: 0.0 | |
params: | |
num_train_timesteps: 1000 | |
beta_start: 0.00085 | |
beta_end: 0.012 | |
beta_schedule: 'scaled_linear' | |
prediction_type: 'epsilon' | |
clip_sample: false | |
# below are for ddim | |
set_alpha_to_one: false | |
steps_offset: 1 | |