Instructions to use glides/epicrealism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glides/epicrealism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("glides/epicrealism", 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
Epic Realism Model Card
epiCRealism is a latent text-to-image diffusion model capable of generating images of people, mainly, and other things, as photorealistically as possible. For more information about how Stable Diffusion functions, please have a look at 🤗's Stable Diffusion blog.
You can use this with the 🧨Diffusers library from Hugging Face.
Diffusers
from diffusers import StableDiffusionPipeline
import torch
pipeline = StableDiffusionPipeline.from_pretrained("glides/epicrealism").to("cuda")
image = pipeline(prompt="a cat playing in a box").images[0]
image.save("cat.png")
Limitations
- The model does not achieve perfect drawing photorealism
- The model cannot render legible text
Developed by
- epinikion
This model card was written by Noa Roggendorff and is based on the Stable Diffusion v1-5 Model Card.
- Downloads last month
- 11
