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**Is your feature request related to a problem? Please describe.**
I found that the inside the `__call__` of stable video diffusion keeps doing async memcpy between host to device as attached.
*…
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Thank you for your excellent work! I am curious about the reasons for using stable video diffusion to generate a video to optimize the material field. Four real-world multi-view videos have been recor…
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```python
import torch
from PIL import Image
from pyramid_dit import PyramidDiTForVideoGeneration
from diffusers.utils import load_image, export_to_video
torch.cuda.set_device(0)
model_dtype, …
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I would like support for stable video diffusion in Apple Silicon GPUs
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Hi, thanks for your great work. This is the best controllable video gen model I've ever seen! However, when I input four views, the results seemed to be inconsistent.
My input:
![1119983942449](…
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## Project Overview
The YouTube Thumbnail Generator is a web application that allows content creators to automatically generate eye-catching thumbnails for their YouTube videos. Users input a video…
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```
[04:43:05] Load appearance_feature_extractor from live_portrait_wrapper.py:46
D:\sd-data\models\liveportrait\base_models\appearance_feature_…
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I tried but stuck with CLIP connection
x4080 updated
3 weeks ago
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### Model/Pipeline/Scheduler description
The authors propose a novel inference technique based on a pretrained diffusion model for text-conditional video generation. Their approach, called FIFO-Diffu…
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I have a 27-second video, but the output gives me a 7-second depth map. What am I doing wrong? Is there any limitation on the input regarding the length of frames or seconds?