Instructions to use briannlongzhao/genx_custom_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use briannlongzhao/genx_custom_diffusion 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/genx_custom_diffusion", torch_dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a <genx>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 274b4e810b65f0d9a9867781b954ae58e27a548adf91fe499d7c81faa38ca529
- Size of remote file:
- 153 MB
- SHA256:
- bad5484886ce571eb63a5e37380f83597e48bae79c39c88c57589df91290427c
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