Instructions to use Zillis/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Zillis/lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Zillis/lora", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 11.23_WHITE.NUDE.GG
- @FACE
- CASTING
- LORA_첫번째 테스트_JENNIE+DEV
- PAAMA_2026_01_18_JIWON_ONE_BANDEAU
- PAAMA_PINK
- SDXL
- VAE_8400_DEV_AsukaLangley
- car
- guitar
- manong
- turbo
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- 75.6 MB xet
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- 228 MB xet
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- 957 kB xet