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-50/scheduler.bin from daeunni/CL: direct link, hf CLI and curl.
- Browser
- Download file 1 kB
-
https://huggingface.co/daeunni/CL/resolve/main/checkpoint-50/scheduler.bin
- Command line
-
hf download hf://daeunni/CL/checkpoint-50/scheduler.bin
-
curl -L -o scheduler.bin https://huggingface.co/daeunni/CL/resolve/main/checkpoint-50/scheduler.bin
1 kB
- Xet hash:
- 3db5a30615d234fa1c026158685dc7be704ec967ea408abbb56dd7a469b11d55
- Size of remote file:
- 1 kB
- SHA256:
- 9e440cace6589de6c72ad2cf84b033c31b67b56f5f593fdfc467c84dd99ca645
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