Instructions to use stablediffusionapi/lazymixv4-inpaint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/lazymixv4-inpaint with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/lazymixv4-inpaint", torch_dtype=torch.bfloat16, device_map="cuda") 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:
- c9a07496f42f75ddd538365a4e162154aa222eb03252bca4302287424c431ed2
- Size of remote file:
- 246 MB
- SHA256:
- d2098defe5e81ed1a3bd4df74fcf9d2654cdcd2027ab7fc437fb14663ec5ce27
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