Instructions to use dinushiTJ/bih_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use dinushiTJ/bih_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("stabilityai/stable-diffusion-2-1-base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("dinushiTJ/bih_lora") prompt = "A <BIH> aerial view" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_0.png from dinushiTJ/bih_lora: direct link, hf CLI and curl.
- Browser
- Download file 268 kB
-
https://huggingface.co/dinushiTJ/bih_lora/resolve/main/image_0.png
- Command line
-
hf download hf://dinushiTJ/bih_lora/image_0.png
-
curl -L -o image_0.png https://huggingface.co/dinushiTJ/bih_lora/resolve/main/image_0.png
268 kB

- Xet hash:
- 1036b8bc96eba45ba8022b1c2f618f112ec47f6f9e037e71b5507a1ceb07e79c
- Size of remote file:
- 268 kB
- SHA256:
- 029590d5d3d25fd0098ef24597fec2f9e1f14d72111b826196d6bc7fde5d4ea1
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