Instructions to use Kiriam/beatles_model_256 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Kiriam/beatles_model_256 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("Kiriam/beatles_model_256") prompt = "a photo of sks album" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download pytorch_lora_weights.bin from Kiriam/beatles_model_256: direct link, hf CLI and curl.
- Browser
- Download file 3.29 MB
-
https://huggingface.co/Kiriam/beatles_model_256/resolve/main/pytorch_lora_weights.bin
- Command line
-
hf download hf://Kiriam/beatles_model_256/pytorch_lora_weights.bin
-
curl -L -o pytorch_lora_weights.bin https://huggingface.co/Kiriam/beatles_model_256/resolve/main/pytorch_lora_weights.bin
3.29 MB
- Xet hash:
- 83df16312fdbb4b1bacfa69bc80f597bb7373587fc2f4932fa423fb826c3c258
- Size of remote file:
- 3.29 MB
- SHA256:
- 5c1a8f4bf28ae6161efa47825ac0fe2c090b6f61ac58d69a68fe200108bc3580
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