Instructions to use stablediffusionapi/vinteprotogenmix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/vinteprotogenmix 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/vinteprotogenmix", 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:
- 0d05e1999caca1dc0cd58c968d1589b6eca02d559717490776b4b0e044615699
- Size of remote file:
- 1.72 GB
- SHA256:
- 62565afa26cf9fa721209a5881d979c04c15751877b264be32ab09958a56ea8d
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