Instructions to use FallnAI/DiffusionLAB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use FallnAI/DiffusionLAB with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("FallnAI/DiffusionLAB", 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
- Xet hash:
- c7374181249aac3c67f664001ddf209d80fa544d516605edd4572855914a375e
- Size of remote file:
- 1.94 GB
- SHA256:
- db0a531a24e6c9a86f37789640d76ce0b81b57137f9fcad5e21e7bf36104085d
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