Instructions to use tangjs/moxin-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tangjs/moxin-test with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("tangjs/moxin-test") 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 image_1.png from tangjs/moxin-test: direct link, hf CLI and curl.
- Browser
- Download file 1.7 MB
-
https://huggingface.co/tangjs/moxin-test/resolve/main/image_1.png
- Command line
-
hf download hf://tangjs/moxin-test/image_1.png
-
curl -L -o image_1.png https://huggingface.co/tangjs/moxin-test/resolve/main/image_1.png
1.7 MB

- Xet hash:
- fa353e1ac9b0b32647f29e3e57f73284661019109cc8147f75243e35af929cda
- Size of remote file:
- 1.7 MB
- SHA256:
- 9caf72bdbd1a17af248b5a318a826280af031c153450dd6331b09009f6494e87
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.