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
File size: 804 Bytes
39eec6f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 | // 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.
#ifndef V8_LIBPLATFORM_LIBPLATFORM_EXPORT_H_
#define V8_LIBPLATFORM_LIBPLATFORM_EXPORT_H_
#if defined(_WIN32)
#ifdef BUILDING_V8_PLATFORM_SHARED
#define V8_PLATFORM_EXPORT __declspec(dllexport)
#elif USING_V8_PLATFORM_SHARED
#define V8_PLATFORM_EXPORT __declspec(dllimport)
#else
#define V8_PLATFORM_EXPORT
#endif // BUILDING_V8_PLATFORM_SHARED
#else // defined(_WIN32)
// Setup for Linux shared library export.
#ifdef BUILDING_V8_PLATFORM_SHARED
#define V8_PLATFORM_EXPORT __attribute__((visibility("default")))
#else
#define V8_PLATFORM_EXPORT
#endif
#endif // defined(_WIN32)
#endif // V8_LIBPLATFORM_LIBPLATFORM_EXPORT_H_
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