Instructions to use aimalias/sh10r1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aimalias/sh10r1 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", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aimalias/sh10r1") prompt = "A cinematic shot of a SH10R1 woman wearing iridescent futuristic armor, standing amidst the neon-lit skyscrapers of a rainy cyberpunk metropolis." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 12055e5d4f7dfe4f9dba2ab1ef6fd31c7aad8f1b4ea95855c1c5f0e147a8fdee
- Size of remote file:
- 195 MB
- SHA256:
- 289e3a7f7e6f944357c18a6af98432daee653de592809717dead78a464d03396
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.