Instructions to use stablediffusionapi/summershard-environmental with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/summershard-environmental 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/summershard-environmental", 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:
- 488efdfc154d43bb8c7a67d3a802eb8ecb044eec8088973ce607395d46e15cf9
- Size of remote file:
- 3.44 GB
- SHA256:
- 99ad324878b75217e4f4e15f1addce7781b373bc7f7a478b996af090eeda2494
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