Instructions to use stablediffusionapi/animalreal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/animalreal 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/animalreal", 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:
- 53259688a0d5be3fc5e777ebde1be7e2e580b1a9d3de79ae6c04b49f1616c300
- Size of remote file:
- 1.72 GB
- SHA256:
- 2774cb5e9b0152db34a47585ec68be63a0981801e4d223f54c4954d3b975b849
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