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
- Draw Things
- DiffusionBee
- Xet hash:
- 8268261f34a74918774914101b67f503f9931dd200f4197ce5035c04c0f08428
- Size of remote file:
- 246 MB
- SHA256:
- 7433ef71a0a2af66cc2cf9ea03b29383a5a411b4798369c7063f4d3b18819efe
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