Instructions to use Bobyu/fine_tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Bobyu/fine_tuned with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Bobyu/fine_tuned") prompt = "a photo of sks cat toy" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoint-500/optimizer.bin from Bobyu/fine_tuned: direct link, hf CLI and curl.
- Browser
- Download file 6.59 MB
-
https://huggingface.co/Bobyu/fine_tuned/resolve/main/checkpoint-500/optimizer.bin
- Command line
-
hf download hf://Bobyu/fine_tuned/checkpoint-500/optimizer.bin
-
curl -L -o optimizer.bin https://huggingface.co/Bobyu/fine_tuned/resolve/main/checkpoint-500/optimizer.bin
6.59 MB
- Xet hash:
- e369a93716112197a5d5c4fa128ba179579f67012c6713c0d98d3982f72971f5
- Size of remote file:
- 6.59 MB
- SHA256:
- 12ee4e1e77cd1ace9464a0b4cee245ced4e93ea849a65f569cc3ffb89faf5fc4
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