Text-to-Image
Diffusers
TensorBoard
lora
diffusers-training
stable-diffusion
stable-diffusion-diffusers
Instructions to use daniihc16/dog-lora-sd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use daniihc16/dog-lora-sd 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("daniihc16/dog-lora-sd") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b4fbcd4ea56dd0e29582916b32dc879f5d8ad9a403398c0ccd4bd71c1ed784b9
- Size of remote file:
- 6.59 MB
- SHA256:
- 789330ba6306c0ce9139755599c932a7c28f30e9ca17f97df1ed13895fbc679e
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