Text-to-Image
Diffusers
Chinese
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Chinese
Instructions to use svjack/Stable-Diffusion-FineTuned-zh-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use svjack/Stable-Diffusion-FineTuned-zh-v1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("svjack/Stable-Diffusion-FineTuned-zh-v1", 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:
- 49c9e83a69c457f673a522c3958d4d547a5f4b7ebcc51eb0d1ba6d1661f92afd
- Size of remote file:
- 3.44 GB
- SHA256:
- 8ef3802a4f3898c5770db84ad1096e2fea0a67128afb38009ec742fefbdaefab
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