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 checkpoint-5000/optimizer.bin from tangjs/moxin-test: direct link, hf CLI and curl.
- Browser
- Download file 94.3 MB
-
https://huggingface.co/tangjs/moxin-test/resolve/main/checkpoint-5000/optimizer.bin
- Command line
-
hf download hf://tangjs/moxin-test/checkpoint-5000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/tangjs/moxin-test/resolve/main/checkpoint-5000/optimizer.bin
94.3 MB
- Xet hash:
- 9797ca48cfa426dae4b58852c674e7ccab6555a9a15f9f5bdb61ad33d2228456
- Size of remote file:
- 94.3 MB
- SHA256:
- 6f4a8a23bfd84f93598efe4e1ae17c2685f9937e2df1496cc3f242b2fe9a868f
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