Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Realistic
Photos
AInfinity
artificialguybr
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/InfiniteLiberty with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/InfiniteLiberty with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/InfiniteLiberty", 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
- Draw Things
- DiffusionBee
- Xet hash:
- ae68eba599a83d7ef82f03e9235f203793b05018406428a89ea7c1a0f23c0c89
- Size of remote file:
- 335 MB
- SHA256:
- f2096952400ae7795ba3eea20817fad25e59731107028d1b07f8dea486b5a106
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