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: 863 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 | // Copyright 2020 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 INCLUDE_CPPGC_MACROS_H_
#define INCLUDE_CPPGC_MACROS_H_
namespace cppgc {
namespace internal {
class __thisIsHereToForceASemicolonAfterThisMacro {};
} // namespace internal
// Use if the object is only stack allocated.
#define CPPGC_STACK_ALLOCATED() \
public: \
using IsStackAllocatedTypeMarker = int; \
\
private: \
void* operator new(size_t) = delete; \
void* operator new(size_t, void*) = delete; \
friend class internal::__thisIsHereToForceASemicolonAfterThisMacro
} // namespace cppgc
#endif // INCLUDE_CPPGC_MACROS_H_
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