Instructions to use Midu/chinese-style-stable-diffusion-2-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Midu/chinese-style-stable-diffusion-2-v0.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Midu/chinese-style-stable-diffusion-2-v0.1", 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:
- 033c6746174a8f9ba13d1d17e1a121e05e8076e363923ecc3a3be915c005ab17
- Size of remote file:
- 3.46 GB
- SHA256:
- ea40608d6ca2035594a00b9f49c90a58e8e6fdea7a4dc9db03ea04cc9fd02949
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