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:
- 1ed9078670e40eb55a382c465158c8b32a55f81a6502a08b4f87c04b1c21028c
- Size of remote file:
- 436 kB
- SHA256:
- 41569788a572f541df5d3d13e95d211882939ffe0976b6c6d8857cc34321694d
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