Instructions to use mozci/nonstablediff with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mozci/nonstablediff with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("mozci/nonstablediff") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 648175d9df61f2ed5ec3ba410c4923a7d05064fa299bcfc16ffd0e5fd1fe4019
- Size of remote file:
- 6.59 MB
- SHA256:
- e891376158c586be51472d06dee3a46ff9f96db4c592aaab1e5dda8f35068ddc
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