Instructions to use kat123123/lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use kat123123/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("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("kat123123/lora") prompt = "realistic pastel colored alien in dessert, outdoors, wes anderson" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-100/optimizer.bin from kat123123/lora: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/kat123123/lora/resolve/main/checkpoint-100/optimizer.bin
- Command line
-
hf download hf://kat123123/lora/checkpoint-100/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/kat123123/lora/resolve/main/checkpoint-100/optimizer.bin
6.59 MB
- Xet hash:
- d4a30841f8478a6db6d1f2a012b3d52a54a866bac465289eca7ef998e07e1d29
- Size of remote file:
- 6.59 MB
- SHA256:
- ce187f8976c179b2f5b3feb59e077d8c3ff7ba2e8e12c7b5e9ab5c62ca83820f
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