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:
- 65e7f8b8ced47c0fbbbe0fd01aaed562a8092f67bc8482338fc099610afb706f
- Size of remote file:
- 3.29 MB
- SHA256:
- 7e35e5a1bde49d73f2dd26b13c1e672b74a3b549ad82645c97fdaf3e289fd61c
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