Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
johnslegers
Base Model
General Purpose
Everything
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/EpicDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/EpicDiffusion 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/EpicDiffusion", 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:
- 329f9411f15ec1942b4164296bbafd14bbda73facb79a5090525c7069410b26b
- Size of remote file:
- 2.13 GB
- SHA256:
- 0466ae65a0f74293bdd5fa110229515b6a102ed3ec8cfb710b52fff463f9bbaf
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