yetter-ai
/

Wan2.2-TI2V-5B-Turbo-Diffusers

Model card Files Files and versions

jingulee commited on Nov 12

Commit

15f1944

·

verified ·

1 Parent(s): 640e8c2

Update README.md

Files changed (1) hide show

README.md +2 -2

README.md CHANGED Viewed

@@ -61,7 +61,7 @@ pip install -U diffusers
 from diffusers import WanPipeline, UniPCMultistepScheduler
 device = "cuda"
-pipe = WanPipeline.from_pretrained("jingulee/Wan2.2-TI2V-5B-Turbo-Diffusers", torch_dtype=torch.bfloat16).to(device)
 pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=5.0)
 width = 1280
@@ -93,7 +93,7 @@ from diffusers import UniPCMultistepScheduler, WanImageToVideoPipeline
 from diffusers.utils import export_to_video, load_image
 device = "cuda"
-pipe = WanImageToVideoPipeline.from_pretrained("jingulee/Wan2.2-TI2V-5B-Turbo-Diffusers", torch_dtype=torch.bfloat16).to(device)
 pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=5.0)
 max_area = 1280 * 704

 from diffusers import WanPipeline, UniPCMultistepScheduler
 device = "cuda"
+pipe = WanPipeline.from_pretrained("yetter-ai/Wan2.2-TI2V-5B-Turbo-Diffusers", torch_dtype=torch.bfloat16).to(device)
 pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=5.0)
 width = 1280
 from diffusers.utils import export_to_video, load_image
 device = "cuda"
+pipe = WanImageToVideoPipeline.from_pretrained("yetter-ai/Wan2.2-TI2V-5B-Turbo-Diffusers", torch_dtype=torch.bfloat16).to(device)
 pipe.scheduler = UniPCMultistepScheduler.from_config(pipe.scheduler.config, flow_shift=5.0)
 max_area = 1280 * 704