Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use briannlongzhao/13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/13 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("briannlongzhao/13", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of <new1> Chihuahua" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 090c517c65f8cc23e7a8b62304e1a5fa6e56243393cb56d288353f344a4409bc
- Size of remote file:
- 102 MB
- SHA256:
- 3435f2e876a0e0c2fbd10bae4f554d3af6aa7cea1938291ebfc8bfb4dc2ef168
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