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 pytorch_lora_weights.bin from tangjs/moxin-test: direct link, hf CLI and curl.
- Browser
- Download file 186 MB
-
https://huggingface.co/tangjs/moxin-test/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://tangjs/moxin-test/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/tangjs/moxin-test/resolve/main/pytorch_lora_weights.bin
186 MB
- Xet hash:
- df549f8b663ffcb183792b10eac82097bba400d53a145b4edfcd15c492d288bf
- Size of remote file:
- 186 MB
- SHA256:
- 7512602672ef57bd1eb020297caa4f6c865b0fd1190e5cee65146fc60c055822
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