by emilianJR
Open source · 14k downloads · 77 likes
epiCRealism is a diffusion model specialized in generating photorealistic images from text descriptions. It excels particularly in creating detailed portraits, realistic scenes, and human faces with high fidelity in features and textures. This model stands out for its ability to produce ultra-high-quality renders, with special attention to details such as facial expressions, natural lighting, and realistic atmospheres. It is ideal for artists, content creators, or professionals seeking to generate realistic images for visual projects, illustrations, or artistic concepts. Its open-source approach and easy integration with diffusion tools make it an accessible solution for a variety of applications.
Diffuser model for this SD checkpoint: https://civitai.com/models/25694/epicrealism
emilianJR/epiCRealism is the HuggingFace diffuser that you can use with diffusers.StableDiffusionPipeline().
| Examples | Examples | Examples |
|---|---|---|
,%20raw%20photo,%20((monochrome)),%20((grayscale)),%20black%20and%20white%20photo.jpeg) |  | |
,%20lotr,%20fantasy,%20elf,%20female,%20full%20body,%20looking%20at%20viewer,%20portrait,%20phot.jpeg){kind=spacer} | ,%20soft%20lighting,%20h.jpeg) |
This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Stable Diffusion.
from diffusers import StableDiffusionPipeline
import torch
model_id = "emilianJR/epiCRealism"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "YOUR PROMPT"
image = pipe(prompt).images[0]
image.save("image.png")
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies: Please read the full license here