Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Highly Detailed
Realistic
AreThoseLevel4Plates
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/edgeOfRealism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/edgeOfRealism 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/edgeOfRealism", 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:
- 60f33c0bc8b905ba801195892c44569f0619597925608b4ff5e3ca58292ec298
- Size of remote file:
- 492 MB
- SHA256:
- 9f60626e6916955ee79ba367f1b969aa4f3914dce54406c913328e1d0e09935c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.