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", torch_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:
- c1de097b63e4d8d9059ef40a77272fa2375153cbecd1ebfa81d4a7c39789a399
- Size of remote file:
- 3.44 GB
- SHA256:
- 7af254384b8045488b506756ae7f9224dca990a00db7f5fdaf4b9b18d4cbe547
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