Instructions to use ItsMaxNorm/stable-diffusion-v1-5-lora-dog6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ItsMaxNorm/stable-diffusion-v1-5-lora-dog6 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("ItsMaxNorm/stable-diffusion-v1-5-lora-dog6") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Download image_1.png from ItsMaxNorm/stable-diffusion-v1-5-lora-dog6: direct link, hf CLI and curl.
- Browser
- Download file 369 kB
-
https://huggingface.co/ItsMaxNorm/stable-diffusion-v1-5-lora-dog6/resolve/main/image_1.png
- Command line
-
hf download hf://ItsMaxNorm/stable-diffusion-v1-5-lora-dog6/image_1.png
-
curl -L -o image_1.png https://huggingface.co/ItsMaxNorm/stable-diffusion-v1-5-lora-dog6/resolve/main/image_1.png
369 kB

- Xet hash:
- 176e2e3bb3861460b853d638aad0e9712365fc7e0bfd6bff40be65e7e9202126
- Size of remote file:
- 369 kB
- SHA256:
- d0d8fcabb7748c32d952fdc284bb0828df26df422af9d8c185897e8ee93fa1be
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