Instructions to use reeen115/lora_output with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use reeen115/lora_output 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", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("reeen115/lora_output") prompt = "cardboards, grayscale" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-1900/optimizer.bin from reeen115/lora_output: direct link, hf CLI and curl.
- Browser
- Download file 6.85 MB
-
https://huggingface.co/reeen115/lora_output/resolve/main/checkpoint-1900/optimizer.bin
- Command line
-
hf download hf://reeen115/lora_output/checkpoint-1900/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/reeen115/lora_output/resolve/main/checkpoint-1900/optimizer.bin
6.85 MB
- Xet hash:
- 2de1e6973f84cb55401a05f98608d171290749190a21bb0c4d95bb2b71098410
- Size of remote file:
- 6.85 MB
- SHA256:
- bcbdca1e6a37ae5dd1dc81ea6de9f1355f38541e5c9c400a9136a345452500c0
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