Instructions to use prithivMLmods/LZO-1-Preview with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use prithivMLmods/LZO-1-Preview with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline from diffusers.utils import load_image # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-Kontext-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("prithivMLmods/LZO-1-Preview") prompt = "Turn this cat into a dog" input_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") image = pipe(image=input_image, prompt=prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
Add 2 files
Browse files- LZO-1-Preview.safetensors +3 -0
- images/010.png +3 -0
LZO-1-Preview.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a34bafe9f020addb29f542c93710ac512bf38afb501e91bdd9a845e4bc73e2f4
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size 612744608
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images/010.png
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Git LFS Details
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