Instructions to use siliconflow/stable-video-diffusion-img2vid-xt-deepcache-int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use siliconflow/stable-video-diffusion-img2vid-xt-deepcache-int8 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("siliconflow/stable-video-diffusion-img2vid-xt-deepcache-int8", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Can this be used with Diffusers?
#1
by tintwotin - opened
The usual way seems to be blocked by the need to grant access?
from diffusers import DiffusionPipeline
pipeline = DiffusionPipeline.from_pretrained("siliconflow/stable-video-diffusion-img2vid-xt-deepcache-int8")
No, this model is just for onediff enterprise edition: https://github.com/siliconflow/onediff/blob/main/README_ENTERPRISE.md#diffusers-with-onediff-enterprise