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
- Draw Things
- DiffusionBee
- Xet hash:
- 549571b0846124d29e373f2689a844bab9f44bb3142521610669c47115a7be02
- Size of remote file:
- 492 MB
- SHA256:
- 978623e86b5f55c854025465424751ea18468f5ab538e99120d96f7a3c20af39
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