bluestarburst
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f6f9150
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Parent(s):
e74281b
Update handler.py
Browse files- handler.py +18 -6
handler.py
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# this is the huggingface handler file
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from diffusers import AutoencoderKL, DDPMScheduler, DDIMScheduler
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from transformers import CLIPTextModel, CLIPTokenizer
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from omegaconf import OmegaConf
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from animatediff.pipelines.pipeline_animation import AnimationPipeline
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from animatediff.utils.util import save_videos_grid
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from animatediff.utils.util import load_weights
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from diffusers.utils.import_utils import is_xformers_available
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from typing import Any
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import torch
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import numpy as np
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class EndpointHandler():
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def __init__(self, model_path: str = "models/StableDiffusion/", inference_config_path: str = "configs/inference/inference-v3.yaml", motion_module: str = "models/Motion_Module/mm_sd_v15.ckpt"):
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@@ -88,4 +93,11 @@ class EndpointHandler():
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# imageio.mimsave(path, outputs, fps=fps)
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# return a gif file as bytes
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return outputs
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# this is the huggingface handler file
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from diffusers import AutoencoderKL, DDPMScheduler, DDIMScheduler
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from transformers import CLIPTextModel, CLIPTokenizer
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from omegaconf import OmegaConf
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from diffusers.utils.import_utils import is_xformers_available
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from typing import Any
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import torch
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import numpy as np
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from animatediff.pipelines.pipeline_animation import AnimationPipeline
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from animatediff.models.unet import UNet3DConditionModel
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from animatediff.pipelines.pipeline_animation import AnimationPipeline
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from animatediff.utils.util import save_videos_grid
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from animatediff.utils.util import load_weights
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class EndpointHandler():
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def __init__(self, model_path: str = "models/StableDiffusion/", inference_config_path: str = "configs/inference/inference-v3.yaml", motion_module: str = "models/Motion_Module/mm_sd_v15.ckpt"):
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# imageio.mimsave(path, outputs, fps=fps)
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# return a gif file as bytes
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return outputs
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# This is the entry point for the serverless function.
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# This function will be called during inference time.
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new_handler = EndpointHandler()
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