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:
- 61e2d833b690b9ab509c65feb627e7a70ed0ac162ea7d7a614fca364998a6179
- Size of remote file:
- 176 MB
- SHA256:
- 10025a17f49cd3208afc342b589890e402ee63123d6f2d289a4a0903695cce58
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