Instructions to use charles2530/Wan2.2-T2V-A14B-Diffusion-AWQ-HIFP4-SKIP-FIRST-4-STEP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use charles2530/Wan2.2-T2V-A14B-Diffusion-AWQ-HIFP4-SKIP-FIRST-4-STEP with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("charles2530/Wan2.2-T2V-A14B-Diffusion-AWQ-HIFP4-SKIP-FIRST-4-STEP", 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
- Xet hash:
- 2b21dfc26c0d6a07afcb83304843664b751ac58caacdd82470ece48d5fe8cb4f
- Size of remote file:
- 1.23 GB
- SHA256:
- 698321cb86bd30c4af06c9b84e656a1048c8cb54e06d50694536fb5de37fde41
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