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
Commit History
-
Update scheduler/scheduler_config.json
dfe952a -
Update scheduler/scheduler_config.json
fb2b78e -
Update scheduler/scheduler_config.json
d346aac -
Update scheduler/scheduler_config.json
82c8495 -
Adding `diffusers` weights of this model (#1)
- Adding `diffusers` weights of this model (a905b57bdc13c0369fe0f0a1f48393f9ab084264)05f5b8b