Instructions to use bhomik7/output_dir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bhomik7/output_dir 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-3.5-medium", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("bhomik7/output_dir") prompt = "An elegant UI for an eccomerce website" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-9000/optimizer.bin from bhomik7/output_dir: direct link, hf CLI and curl.
- Browser
- Download file 9.71 MB
-
https://huggingface.co/bhomik7/output_dir/resolve/main/checkpoint-9000/optimizer.bin
- Command line
-
hf download hf://bhomik7/output_dir/checkpoint-9000/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/bhomik7/output_dir/resolve/main/checkpoint-9000/optimizer.bin
9.71 MB
- Xet hash:
- 84fcfe21a922d4136c3e602d06d9143ce670fd92e790d7e844e5c36aa418b4d6
- Size of remote file:
- 9.71 MB
- SHA256:
- 4653d9239c8b97c2071b2353cd93d2cbc0c2ecc66c5bda088f000627795ed6ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.