Instructions to use daeunni/exp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use daeunni/exp 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/exp") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from daeunni/exp: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/daeunni/exp/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://daeunni/exp/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/daeunni/exp/resolve/main/checkpoint-500/optimizer.bin
6.59 MB
- Xet hash:
- d33824d508a330e4f65459cdfb6b214ab466bfcf4f81b71905058327bf6688ef
- Size of remote file:
- 6.59 MB
- SHA256:
- 0689591748425cd960b5ca3cea7fa0d0eb72872d16fca3e5c4f47ad12da53dce
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