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
| // Copyright 2018 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. | |
| namespace v8 { | |
| /** | |
| * This function determines whether a memory access violation has been an | |
| * out-of-bounds memory access in WebAssembly. If so, it will modify the | |
| * exception parameter and add a return address where the execution can continue | |
| * after the exception handling, and return true. Otherwise the return value | |
| * will be false. | |
| * | |
| * The parameter to this function corresponds to the one passed to a Windows | |
| * vectored exception handler. Use this function only on Windows. | |
| * | |
| * \param exception An EXCEPTION_POINTERS* as provided to the exception handler. | |
| */ | |
| V8_EXPORT bool TryHandleWebAssemblyTrapWindows(EXCEPTION_POINTERS* exception); | |
| } // namespace v8 | |