From df3da996d3fcca547997026c226ea0978f39e7f6 Mon Sep 17 00:00:00 2001 From: Alexandre Poisson <13329302+AlexandrePoisson@users.noreply.github.com> Date: Sun, 29 Sep 2024 12:54:08 +0200 Subject: [PATCH] Update app.py Model was not found, so fix it by creating a global variable with the correct path : MODEL = "THUDM/CogVideoX-5b" Fix typo 'experimental use' --- inference/gradio_composite_demo/app.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/inference/gradio_composite_demo/app.py b/inference/gradio_composite_demo/app.py index 1df2e65..757b31c 100644 --- a/inference/gradio_composite_demo/app.py +++ b/inference/gradio_composite_demo/app.py @@ -37,13 +37,15 @@ from huggingface_hub import hf_hub_download, snapshot_download device = "cuda" if torch.cuda.is_available() else "cpu" +MODEL = "THUDM/CogVideoX-5b" + hf_hub_download(repo_id="ai-forever/Real-ESRGAN", filename="RealESRGAN_x4.pth", local_dir="model_real_esran") snapshot_download(repo_id="AlexWortega/RIFE", local_dir="model_rife") -pipe = CogVideoXPipeline.from_pretrained("/share/official_pretrains/hf_home/CogVideoX-5b", torch_dtype=torch.bfloat16).to(device) +pipe = CogVideoXPipeline.from_pretrained(MODEL, torch_dtype=torch.bfloat16).to(device) pipe.scheduler = CogVideoXDPMScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing") pipe_video = CogVideoXVideoToVideoPipeline.from_pretrained( - "/share/official_pretrains/hf_home/CogVideoX-5b", + MODEL, transformer=pipe.transformer, vae=pipe.vae, scheduler=pipe.scheduler, @@ -53,9 +55,9 @@ pipe_video = CogVideoXVideoToVideoPipeline.from_pretrained( ).to(device) pipe_image = CogVideoXImageToVideoPipeline.from_pretrained( - "/share/official_pretrains/hf_home/CogVideoX-5b-I2V", + MODEL, transformer=CogVideoXTransformer3DModel.from_pretrained( - "/share/official_pretrains/hf_home/CogVideoX-5b-I2V", subfolder="transformer", torch_dtype=torch.bfloat16 + MODEL, subfolder="transformer", torch_dtype=torch.bfloat16 ), vae=pipe.vae, scheduler=pipe.scheduler, @@ -315,7 +317,7 @@ with gr.Blocks() as demo: ">
- ⚠️ This demo is for academic research and experiential use only. + ⚠️ This demo is for academic research and experimental use only.
""") with gr.Row():