Text-to-Video
Diffusers
video-generation
test-time-search
best-of-n
caching
training-free
wan
cogvideox
hunyuanvideo
ltx-video
Instructions to use shreshthsaini/CachedSearch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use shreshthsaini/CachedSearch with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("shreshthsaini/CachedSearch", 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
Download assets/fig2_method.png from shreshthsaini/CachedSearch: direct link, hf CLI and curl.
- Browser
- Download file 294 kB
-
https://huggingface.co/shreshthsaini/CachedSearch/resolve/main/assets/fig2_method.png
- Command line
-
hf download hf://shreshthsaini/CachedSearch/assets/fig2_method.png
-
curl -L -o fig2_method.png https://huggingface.co/shreshthsaini/CachedSearch/resolve/main/assets/fig2_method.png
294 kB

- Xet hash:
- e55afd362236c90c213a77baa8516fbdebdc5fb396a705f518fe7f21229a9631
- Size of remote file:
- 294 kB
- SHA256:
- ccbdd6960a4800bbbc9bd020df259ecad839538c1dc8c3c7df5dc8567c77a415
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