Instructions to use AlonzoLeeeooo/StableV2V with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AlonzoLeeeooo/StableV2V with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AlonzoLeeeooo/StableV2V", 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:
- 3a5d790ef987d8785663d52644acd5b0d2327fc2c4579ce2b459895cf9c357ed
- Size of remote file:
- 21.1 MB
- SHA256:
- fcfa4125d6418f4de95d84aec20a3c5f4e205101715a79f193243c186ac9a7e1
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