Instructions to use jyp96/dog6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jyp96/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("stabilityai/stable-diffusion-3-medium-diffusers", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("jyp96/dog6") prompt = "A photo of sks dog6 in a bucket" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 1e9c85c3c2ad64786bdd3d99b2876b74f6b8b2059b8868093f3fed737e3a66d7
- Size of remote file:
- 19.1 MB
- SHA256:
- f0a7c9104e4663f3805dfa47621954c31491b83690d942375ed0c787172c811a
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