Instructions to use aimalias/sw33n3y3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/sw33n3y3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("krea/Krea-2-Raw", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/sw33n3y3") prompt = "A cinematic shot of a SW33N3Y woman wearing holographic armor, standing amidst the neon-drenched skyscrapers of a rainy cyberpunk metropolis." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download sample_1.png from aimalias/sw33n3y3: direct link, hf CLI and curl.
- Browser
- Download file 1.23 MB
-
https://huggingface.co/aimalias/sw33n3y3/resolve/main/sample_1.png
- Command line
-
hf download hf://aimalias/sw33n3y3/sample_1.png
-
curl -L -o sample_1.png https://huggingface.co/aimalias/sw33n3y3/resolve/main/sample_1.png
1.23 MB

- Xet hash:
- 0c4b72e1ebbad618ce9cc8c6894661da65ce9a90faa0b716f9a028004b8fd959
- Size of remote file:
- 1.23 MB
- SHA256:
- 002846bc30a71c8abdad572a189ca11dd90359cc5abf58ca5d799fc94b315fa8
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