Instructions to use nevproject/SonicDiffusionV2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use nevproject/SonicDiffusionV2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("nevproject/SonicDiffusionV2", 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
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 42e724af0e44b9360fa0d56062c665b4fc6a571e1f0dda5a62670ff2eff2a799
- Size of remote file:
- 492 MB
- SHA256:
- 62d7d67a6a947aba5e40f4225f2af42735fadf41f9c0d162120befa4d0defd19
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