Instructions to use lora-library/ahmeng with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lora-library/ahmeng 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("lora-library/ahmeng") prompt = "a photo of ahmeng" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-700/optimizer.bin from lora-library/ahmeng: direct link, hf CLI and curl.
- Browser
- Download file 3.49 MB
-
https://huggingface.co/lora-library/ahmeng/resolve/main/checkpoint-700/optimizer.bin
- Command line
-
hf download hf://lora-library/ahmeng/checkpoint-700/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/lora-library/ahmeng/resolve/main/checkpoint-700/optimizer.bin
3.49 MB
- Xet hash:
- d4947185f39d13b7380d56d136bad3dd78e5752b02e5becb67f5a46c2b375b50
- Size of remote file:
- 3.49 MB
- SHA256:
- 5ad8afb75d58885456eb0ca65a8bf55445e336d5ccb02964084d15f676cf66d5
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