Instructions to use stablediffusionapi/vranipic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/vranipic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/vranipic", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- fe693bb3bff7a8f8b95f5f7cab85cf76e6271217d4100f7630a97b944cb15e76
- Size of remote file:
- 1.72 GB
- SHA256:
- 67b0613aed695219ca066f7a263c5ac85c99b3caca22d1d531c508642821ae7c
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