Text-to-Image
Diffusers
Chinese
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
Chinese
Instructions to use svjack/Stable-Diffusion-FineTuned-zh-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use svjack/Stable-Diffusion-FineTuned-zh-v2 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-v2", 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
Download text_encoder/pytorch_model.bin from svjack/Stable-Diffusion-FineTuned-zh-v2: direct link, hf CLI and curl.
- Browser
- Download file 409 MB
-
https://huggingface.co/svjack/Stable-Diffusion-FineTuned-zh-v2/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://svjack/Stable-Diffusion-FineTuned-zh-v2/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/svjack/Stable-Diffusion-FineTuned-zh-v2/resolve/main/text_encoder/pytorch_model.bin
409 MB
- Xet hash:
- d2e91e251339dcbb253f31213259551d900adbd5c146fb4cedfdfd906a18a557
- Size of remote file:
- 409 MB
- SHA256:
- 24aa6c180741fa13394fb4e9335cefacf7ea13abb38b821b06d9cd15c2d1305a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.