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:
- 16117a68e975a86934ca5890548400d2633465be213903b0bd6c096f9d112d1e
- Size of remote file:
- 2.61 GB
- SHA256:
- 9ec34a65cbf23eec822184ef6ce337bf0247f5b7e46a70cfbcbbede3e332122f
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