|
37 | 37 |
|
38 | 38 | device = "cuda" if torch.cuda.is_available() else "cpu" |
39 | 39 |
|
| 40 | +MODEL = "THUDM/CogVideoX-5b" |
| 41 | + |
40 | 42 | hf_hub_download(repo_id="ai-forever/Real-ESRGAN", filename="RealESRGAN_x4.pth", local_dir="model_real_esran") |
41 | 43 | snapshot_download(repo_id="AlexWortega/RIFE", local_dir="model_rife") |
42 | 44 |
|
43 | | -pipe = CogVideoXPipeline.from_pretrained("/share/official_pretrains/hf_home/CogVideoX-5b", torch_dtype=torch.bfloat16).to(device) |
| 45 | +pipe = CogVideoXPipeline.from_pretrained(MODEL, torch_dtype=torch.bfloat16).to(device) |
44 | 46 | pipe.scheduler = CogVideoXDPMScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing") |
45 | 47 | pipe_video = CogVideoXVideoToVideoPipeline.from_pretrained( |
46 | | - "/share/official_pretrains/hf_home/CogVideoX-5b", |
| 48 | + MODEL, |
47 | 49 | transformer=pipe.transformer, |
48 | 50 | vae=pipe.vae, |
49 | 51 | scheduler=pipe.scheduler, |
|
53 | 55 | ).to(device) |
54 | 56 |
|
55 | 57 | pipe_image = CogVideoXImageToVideoPipeline.from_pretrained( |
56 | | - "/share/official_pretrains/hf_home/CogVideoX-5b-I2V", |
| 58 | + MODEL, |
57 | 59 | transformer=CogVideoXTransformer3DModel.from_pretrained( |
58 | | - "/share/official_pretrains/hf_home/CogVideoX-5b-I2V", subfolder="transformer", torch_dtype=torch.bfloat16 |
| 60 | + MODEL, subfolder="transformer", torch_dtype=torch.bfloat16 |
59 | 61 | ), |
60 | 62 | vae=pipe.vae, |
61 | 63 | scheduler=pipe.scheduler, |
@@ -315,7 +317,7 @@ def delete_old_files(): |
315 | 317 | "></a> |
316 | 318 | </div> |
317 | 319 | <div style="text-align: center; font-size: 15px; font-weight: bold; color: red; margin-bottom: 20px;"> |
318 | | - ⚠️ This demo is for academic research and experiential use only. |
| 320 | + ⚠️ This demo is for academic research and experimental use only. |
319 | 321 | </div> |
320 | 322 | """) |
321 | 323 | with gr.Row(): |
|
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