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", torch_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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 5d110d514fc7e9f4e9d0b19b62952817eee6f239f9efc038e36e14f45f02c665
- Size of remote file:
- 19.1 MB
- SHA256:
- b25297ea1ac1b4484f79fed9d6004b986422adefa839b4ef5f008b37a38f2706
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