Text-to-Image
Diffusers
TensorBoard
Safetensors
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
custom-diffusion
Instructions to use briannlongzhao/67 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/67 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/67", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of <new1> modem" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0574cce1ac556beffcc2ce09531e5c365bb4d490067ea7c47fe780baa7ee71ff
- Size of remote file:
- 102 MB
- SHA256:
- 043d6b03bd8e9e1e94128f4a6ae0c96104a87ccba6e0eea3ca33a6b37ef702b6
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