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", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a <genx>" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- 855d3406524f4c9e36eb9b57e4484f5eff2b0b650fc3c27e7378942d9ba455fc
- Size of remote file:
- 102 MB
- SHA256:
- 3350e91c695bd768a150e1609701daa86b685c87e495f218afdf89ec06ff0209
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