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", 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:
- 6bd015a49fc013f32d5b06c11b0686735405d71372ecd23421ebfa3b4e81c2c0
- Size of remote file:
- 3.44 GB
- SHA256:
- 851e44514a80c1deb8d7354e4c7b7dc71eda466f1c6b4932290bf88caacd0eac
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