Instructions to use NEXAS/stable_diff_custom with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NEXAS/stable_diff_custom with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("NEXAS/stable_diff_custom", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a nkl person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- bde2030dc0845ceee6a79ec2202f5df6aec9f50465472abb461af42ba860939b
- Size of remote file:
- 23.4 MB
- SHA256:
- 1554356c9eaa4c0936c8cb991b10e83be0f5b8a63f151e2b75fc14ec82fd9ed6
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