Instructions to use camenduru/text2video-zero with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use camenduru/text2video-zero with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("camenduru/text2video-zero", 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 node-gyp/14.16.0/include/node/libplatform/libplatform-export.h from camenduru/text2video-zero: direct link, hf CLI and curl.
- Browser
- Download file 804 Bytes
-
https://huggingface.co/camenduru/text2video-zero/resolve/main/node-gyp/14.16.0/include/node/libplatform/libplatform-export.h
- Command line
-
hf download hf://camenduru/text2video-zero/node-gyp/14.16.0/include/node/libplatform/libplatform-export.h
-
curl -L -o libplatform-export.h https://huggingface.co/camenduru/text2video-zero/resolve/main/node-gyp/14.16.0/include/node/libplatform/libplatform-export.h
804 Bytes
| // Copyright 2016 the V8 project authors. All rights reserved. | |
| // Use of this source code is governed by a BSD-style license that can be | |
| // found in the LICENSE file. | |
| // Setup for Linux shared library export. | |