Instructions to use IcelosAI/lichtspiel-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use IcelosAI/lichtspiel-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("IcelosAI/lichtspiel-diffusion", 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:
- 5d99d53803fbd555a8b966829fb9253dc4a2c677d299a435dab691b0577a8553
- Size of remote file:
- 492 MB
- SHA256:
- a0211c0b85d2927c034fd2e86be85f12d478a9a775a0f26fe2b8018d26b8fc4c
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