AnimateDiff bug not sure if it use adapter or not

[xalteropsx]

s import Transformer2DModelOutput`, instead.
deprecate("Transformer2DModelOutput", "1.0.0", deprecation_message)
The config attributes {'motion_activation_fn': 'geglu', 'motion_attention_bias': False, 'motion_cross_attention_dim': None} were passed to MotionAdapter, but are not expected and will be ignored. Please verify your config.json configuration file.
Loading pipeline components...: 83%|███████████████████████████████████████████████████████▊ | 5/6 [00:08<00:02, 2.51s/it]Z:\software\python11\Lib\site-packages\transformers\models\clip\feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead.
warnings.warn(
Loading pipeline components...: 100%|███████████████████████████████████████████████████████████████████| 6/6 [00:08<00:00, 1.41s/it]
The config attributes {'center_input_sample': False, 'flip_sin_to_cos': True, 'freq_shift': 0, 'mid_block_type': 'UNetMidBlock2DCrossAttn', 'only_cross_attention': False, 'dropout': 0.0, 'attention_head_dim': 8, 'dual_cross_attention': False, 'class_embed_type': None, 'num_class_embeds': None, 'upcast_attention': None, 'resnet_time_scale_shift': 'default', 'resnet_skip_time_act': False, 'resnet_out_scale_factor': 1.0, 'time_embedding_type': 'positional', 'time_embedding_dim': None, 'time_embedding_act_fn': None, 'timestep_post_act': None, 'conv_in_kernel': 3, 'conv_out_kernel': 3, 'attention_type': 'default', 'class_embeddings_concat': False, 'mid_block_only_cross_attention': None, 'cross_attention_norm': None, 'addition_embed_type_num_heads': 64} were passed to UNetMotionModel, but are not expected and will be ignored. Please verify your config.json configuration file. keep getting this warning whatever model i load

have u guys tested or ur animatediffpipeline with other sd model ? i tried 2 different model and this error reproduce

[sayakpaul]

Can you please provide a reproducible code snippet?

And I am not sure what exactly you're trying to report. The traces include some deprecation warnings which are safe to ignore in this case.

Cc: @DN6

[xalteropsx]

import torch
from diffusers import AnimateDiffPipeline, DDIMScheduler, MotionAdapter
from diffusers.utils import export_to_gif

adapter = MotionAdapter.from_pretrained("guoyww/animatediff-motion-adapter-v1-5-2", torch_dtype=torch.float16)
 # use any sd model will always show this warning i guess
pipe = AnimateDiffPipeline.from_pretrained("SG161222/Realistic_Vision_V6.0_B1_noVAE", motion_adapter=adapter, torch_dtype=torch.float16)
scheduler = DDIMScheduler.from_pretrained(
    "SG161222/Realistic_Vision_V6.0_B1_noVAE",
    subfolder="scheduler",
    clip_sample=False,
    timestep_spacing="linspace",
    beta_schedule="linear",
    steps_offset=1,
)
pipe.scheduler = scheduler
pipe.enable_vae_slicing()
pipe.enable_model_cpu_offload()

output = pipe(
    prompt=(
        "masterpiece, bestquality, highlydetailed, ultradetailed, sunset, "
        "orange sky, warm lighting, fishing boats, ocean waves seagulls, "
        "rippling water, wharf, silhouette, serene atmosphere, dusk, evening glow, "
        "golden hour, coastal landscape, seaside scenery"
    ),
    negative_prompt="bad quality, worse quality",
    num_frames=16,
    guidance_scale=7.5,
    num_inference_steps=25,
    generator=torch.Generator("cpu").manual_seed(42),
)
frames = output.frames[0]
export_to_gif(frames, "animation.gif")

it would be better if u remove this warning dont like warning even we using latest diffusers

[sayakpaul]

This warning for the users to know about. You safely disable the warnings if you'd like: https://huggingface.co/docs/diffusers/en/api/logging