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
- Draw Things
- DiffusionBee
- Xet hash:
- cd337b1f3e7197881b03b7ebe9bc40e90d59a4908eb0b86ed84b2e274e3056e0
- Size of remote file:
- 6.59 MB
- SHA256:
- 573ee40d461837a74a8a7ec921e50d1c506f8d77915ae6f7661d0b4568b9d68a
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