Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
General
LandScapes
Photorealistic
Lykon
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/AbsoluteReality with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/AbsoluteReality 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/AbsoluteReality", 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:
- ebb4c58d6e35d4c3995d2422f072421e7a68456ae4f852df0616529acfc2950d
- Size of remote file:
- 167 MB
- SHA256:
- 0cccfe4c1f0216c14064eb70b7351a85b59f1019cd673cc42c801103c5e8b46e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.