Instructions to use ethers/sd-loral-cat-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ethers/sd-loral-cat-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ethers/sd-loral-cat-model") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_lora_weights.bin from ethers/sd-loral-cat-model: direct link, hf CLI and curl.
- Browser
- Download file 3.29 MB
-
https://huggingface.co/ethers/sd-loral-cat-model/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://ethers/sd-loral-cat-model/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/ethers/sd-loral-cat-model/resolve/main/pytorch_lora_weights.bin
3.29 MB
- Xet hash:
- add12b1b98f3b3c8baab75142993dbc87b5429c93dbf1202662473e7ff5066ee
- Size of remote file:
- 3.29 MB
- SHA256:
- 20597b923c9f38855ae511958762294a25ef1a5ee8ede8e76d1acc9852afe568
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