Instructions to use eristotelian/simlora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use eristotelian/simlora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("eristotelian/simlora") prompt = "simlora" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- d5d5ad4f9abf471db0d78de4a7b27a96ee3e59aa14db3ebd20d26dedda135798
- Size of remote file:
- 3.29 MB
- SHA256:
- 346c08343e59b5b0a2a4b8bb461d76e3e1fafdca167c3865a47798e819846c16
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