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 Settings
- Draw Things
- DiffusionBee
Download checkpoint-1000/scheduler.bin from eristotelian/simlora: direct link, hf CLI and curl.
- Browser
- Download file 563 Bytes
-
https://huggingface.co/eristotelian/simlora/resolve/main/checkpoint-1000/scheduler.bin
- Command line
-
hf download hf://eristotelian/simlora/checkpoint-1000/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/eristotelian/simlora/resolve/main/checkpoint-1000/scheduler.bin
563 Bytes
- Xet hash:
- 4acf816bbf27a7c2aa9e18dfd646a622bf32b26817deaef5baeaefe6a0ebcec4
- Size of remote file:
- 563 Bytes
- SHA256:
- 77b9ebea123ef27976d26da3da6318c1ad6e54aba8cea7a2c88d3b85e8811d78
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