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-1500/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-1500/optimizer.pt
- Command line
-
hf download hf://whosouravsharma/diffusiondb-sd15-lora/checkpoints/checkpoint-1500/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/whosouravsharma/diffusiondb-sd15-lora/resolve/main/checkpoints/checkpoint-1500/optimizer.pt
51.2 MB
- Xet hash:
- 807e5687efb28c16dca9be69fef4db98bddda552bbc4783a52d7579fdde2f654
- Size of remote file:
- 51.2 MB
- SHA256:
- 6567bc977ebbda73c305ae0ad54f554235b7a2ff0f78a7054a7c075a8e6ffa93
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