Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
General Purpose
Everything
Photorealistic
Landscapes
johnslegers
epinikion
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/epiCEpic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/epiCEpic 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/epiCEpic", 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:
- 4a629b0e25ae774d2a7aa6d2c7dd976b8019f1521d4ff44b8dcf7e1780361dd2
- Size of remote file:
- 2.13 GB
- SHA256:
- a21500dbe605cea00c48f7bebc47abebcb48578bc7da7f8de4c9a14eaaceed17
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