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-2500/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-2500/optimizer.bin
- Command line
-
hf download hf://daeunni/CL/checkpoint-2500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/daeunni/CL/resolve/main/checkpoint-2500/optimizer.bin
16.2 MB
- Xet hash:
- 0988fa5df4bfdc1cddf79cc05b565675ec25bab6d6925b8010f7510d3bfe639f
- Size of remote file:
- 16.2 MB
- SHA256:
- 31118f8f330b20f3d0402d6ec006c21ee0f4162cdc3536980d13731f1ad74b07
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