Instructions to use stablediffusionapi/ceshi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/ceshi 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/ceshi", 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:
- cc55b5a0e2ae5109bc7f56c7a0313fb3550d905cf42e54e9fc7c5c5139ce32b2
- Size of remote file:
- 246 MB
- SHA256:
- 1aaa9196f44f8283e6549b748927d0d24b91710c1a216be590e08458bb5d615c
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