Update handler.py
Browse files- handler.py +3 -3
handler.py
CHANGED
|
@@ -21,7 +21,7 @@ class EndpointHandler:
|
|
| 21 |
"""
|
| 22 |
# Initialize pipeline with bfloat16 for optimal performance as recommended in docs
|
| 23 |
self.pipe = CogVideoXPipeline.from_pretrained(
|
| 24 |
-
path or "
|
| 25 |
torch_dtype=torch.bfloat16
|
| 26 |
).to("cuda")
|
| 27 |
|
|
@@ -33,7 +33,7 @@ class EndpointHandler:
|
|
| 33 |
|
| 34 |
# Initialize video-to-video pipeline
|
| 35 |
self.pipe_video = CogVideoXVideoToVideoPipeline.from_pretrained(
|
| 36 |
-
path or "
|
| 37 |
transformer=self.pipe.transformer,
|
| 38 |
vae=self.pipe.vae,
|
| 39 |
scheduler=self.pipe.scheduler,
|
|
@@ -44,7 +44,7 @@ class EndpointHandler:
|
|
| 44 |
|
| 45 |
# Initialize image-to-video pipeline
|
| 46 |
self.pipe_image = CogVideoXImageToVideoPipeline.from_pretrained(
|
| 47 |
-
path or "THUDM/
|
| 48 |
vae=self.pipe.vae,
|
| 49 |
scheduler=self.pipe.scheduler,
|
| 50 |
tokenizer=self.pipe.tokenizer,
|
|
|
|
| 21 |
"""
|
| 22 |
# Initialize pipeline with bfloat16 for optimal performance as recommended in docs
|
| 23 |
self.pipe = CogVideoXPipeline.from_pretrained(
|
| 24 |
+
path or "jbilcke-hf/CogVideoX-Fun-V1.5-5b-for-InferenceEndpoints",
|
| 25 |
torch_dtype=torch.bfloat16
|
| 26 |
).to("cuda")
|
| 27 |
|
|
|
|
| 33 |
|
| 34 |
# Initialize video-to-video pipeline
|
| 35 |
self.pipe_video = CogVideoXVideoToVideoPipeline.from_pretrained(
|
| 36 |
+
path or "jbilcke-hf/CogVideoX-Fun-V1.5-5b-for-InferenceEndpoints",
|
| 37 |
transformer=self.pipe.transformer,
|
| 38 |
vae=self.pipe.vae,
|
| 39 |
scheduler=self.pipe.scheduler,
|
|
|
|
| 44 |
|
| 45 |
# Initialize image-to-video pipeline
|
| 46 |
self.pipe_image = CogVideoXImageToVideoPipeline.from_pretrained(
|
| 47 |
+
path or "THUDM/CogVideoX1.5-5B-I2V",
|
| 48 |
vae=self.pipe.vae,
|
| 49 |
scheduler=self.pipe.scheduler,
|
| 50 |
tokenizer=self.pipe.tokenizer,
|