Using seed: 21244 /src/magic-animate/magicanimate/pipelines/pipeline_animation.py:43: FutureWarning: Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead. from diffusers.pipeline_utils import DiffusionPipeline loaded temporal unet's pretrained weights from /src/pretrained_models/stable-diffusion-v1-5/unet ... ### missing keys: 560; ### unexpected keys: 0; ### Temporal Module Parameters: 417.1376 M The config attributes {'addition_embed_type': None, 'addition_embed_type_num_heads': 64, 'addition_time_embed_dim': None, 'conditioning_channels': 3, 'encoder_hid_dim': None, 'encoder_hid_dim_type': None, 'global_pool_conditions': False, 'num_attention_heads': None, 'transformer_layers_per_block': 1} were passed to ControlNetModel, but are not expected and will be ignored. Please verify your config.json configuration file. It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8. It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8. It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8. It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8. /src/magic-animate/magicanimate/pipelines/pipeline_animation.py:103: FutureWarning: The configuration file of this scheduler: DDIMScheduler { "_class_name": "DDIMScheduler", "_diffusers_version": "0.21.4", "beta_end": 0.012, "beta_schedule": "linear", "beta_start": 0.00085, "clip_sample": true, "clip_sample_range": 1.0, "dynamic_thresholding_ratio": 0.995, "num_train_timesteps": 1000, "prediction_type": "epsilon", "rescale_betas_zero_snr": false, "sample_max_value": 1.0, "set_alpha_to_one": true, "steps_offset": 0, "thresholding": false, "timestep_spacing": "leading", "trained_betas": null } is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file deprecate("steps_offset!=1", "1.0.0", deprecation_message, standard_warn=False) /src/magic-animate/magicanimate/pipelines/pipeline_animation.py:116: FutureWarning: The configuration file of this scheduler: DDIMScheduler { "_class_name": "DDIMScheduler", "_diffusers_version": "0.21.4", "beta_end": 0.012, "beta_schedule": "linear", "beta_start": 0.00085, "clip_sample": true, "clip_sample_range": 1.0, "dynamic_thresholding_ratio": 0.995, "num_train_timesteps": 1000, "prediction_type": "epsilon", "rescale_betas_zero_snr": false, "sample_max_value": 1.0, "set_alpha_to_one": true, "steps_offset": 1, "thresholding": false, "timestep_spacing": "leading", "trained_betas": null } has not set the configuration `clip_sample`. `clip_sample` should be set to False in the configuration file. Please make sure to update the config accordingly as not setting `clip_sample` in the config might lead to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file deprecate("clip_sample not set", "1.0.0", deprecation_message, standard_warn=False) current seed: 21244 0%| | 0/1 [00:00