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

- Xet hash:
- 85acafb8c3b53fb8d5c700a17186c09b4bb37c34136ea93cf7f94ba067a178c9
- Size of remote file:
- 337 kB
- SHA256:
- 792b47766fb512dc46371cde4b9d1dd9466fe717ee668e39bede418148575bb1
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