Instructions to use daeunni/CL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use daeunni/CL with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("daeunni/CL") prompt = "a photo of sks teddybear" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-200/optimizer.bin from daeunni/CL: direct link, hf CLI and curl.
- Browser
- Download file 16.2 MB
-
https://huggingface.co/daeunni/CL/resolve/main/checkpoint-200/optimizer.bin
- Command line
-
hf download hf://daeunni/CL/checkpoint-200/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/daeunni/CL/resolve/main/checkpoint-200/optimizer.bin
16.2 MB
- Xet hash:
- 97e50ed98b1de3cff684e324aae03c2aa070b56630a33b216d67cb6355a1d6eb
- Size of remote file:
- 16.2 MB
- SHA256:
- 776b4cc82f078289cd07cf28d1367f4f415d78334f6650689007fe2967abaa82
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