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
- Draw Things
- DiffusionBee
epiCEpic
johnslegers's Epic Diffusion 1.0 merged with epinikion's epiCDream to improve the coherency of the former and the backgrounds of the latter!
Samples and prompts:
cute 70s little girl in tricycle, Screenshot of an surreal analog round jean minimalist architecture, Sharp still light, pretty eyes, 35mm from a sci fi blockbuster color movie made in 2023, beautiful portrait, Dorothy, set in 1860, in front of a spaceship that has just landed on an alien planet, are all wearing, a robot stands nearby
high resolution concept art of an apartment living room overlooking a large futuristic city with floor to ceiling windows and mid century modern furniture cinematic lighting cgsociety
analog style 70s color photograph of Yoda with young Mark Hamill using lightsabers as Luke Skywalker, Star Wars behind the scenes. Closeup
An intricate forest minitown landscape trapped in a bottle), atmospheric oliva lighting, on the table, 4k UHD, dark vibes, hyper detailed, vibrant colours forest background, epic composition, octane render, sharp focus, high resolution isometric
Original pages:
https://huggingface.co/johnslegers/epic-diffusion
https://civitai.com/models/125189/epicdream
Recipe
SuperMerger Weight Sum Use MBW 1,0,0,0,0,0,0,0,0,0,1,1,1,0,1,1,1,1,1,1,0,0,0,1,1,1
Model A:
epic-diffusion 1.0
Model B:
epicdream
Output:
epiCEpic
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