Instructions to use whosouravsharma/diffusiondb-sd15-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use whosouravsharma/diffusiondb-sd15-lora with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("whosouravsharma/diffusiondb-sd15-lora") prompt = "a anthropomorphic lion wizard, diffuse lighting, fantasy, intricate, elegant, highly detailed, lifelike, photorealistic, digital painting, artstation, illustration, concept art, smooth, sharp focus, naturalism, trending on byron's - muse, by greg rutkowski and greg staples" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download checkpoints/checkpoint-500/optimizer.pt from whosouravsharma/diffusiondb-sd15-lora: direct link, hf CLI and curl.
- Browser
- Download file 51.2 MB
-
https://huggingface.co/whosouravsharma/diffusiondb-sd15-lora/resolve/main/checkpoints/checkpoint-500/optimizer.pt
- Command line
-
hf download hf://whosouravsharma/diffusiondb-sd15-lora/checkpoints/checkpoint-500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/whosouravsharma/diffusiondb-sd15-lora/resolve/main/checkpoints/checkpoint-500/optimizer.pt
51.2 MB
- Xet hash:
- be8482916ad9f9d0cedaa50b7bbbeb16bee2e891f8e4a1419a8997b398fb6fe2
- Size of remote file:
- 51.2 MB
- SHA256:
- 020e5edf004b66e57788bb9ac5841dd4b3b4ee26da2290a546e957a011128c4a
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