Instructions to use Niggendar/InLightMix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Niggendar/InLightMix with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Niggendar/InLightMix", 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:
- f7a401b7eff3720980b9fc795c4914554f5313c8185059233cc70a3105190bc7
- Size of remote file:
- 1.39 GB
- SHA256:
- d2eb281d0ec6ee5251b54cfe7d95c921b72ecbf3656471894816f821e25ce7d8
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