kamillaova/epiCRealism

Original model page

Examples

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Natural Sin Final and last of epiCRealism

Since SDXL is right around the corner, let's say it is the final version for now since I put a lot effort into it and probably cannot do much more.

I tried to refine the understanding of the Prompts, Hands and of course the Realism.
Let's see what you guys can do with it.

Advices:

• use simple prompts
• no need to use keywords like "masterpiece, best quality, 8k, intricate, high detail" or "(extremely detailed face), ( extremely detailed hands), (extremely detailed hair)" since it doesn't produce appreciable change
• use simple negatives or small negative embeddings. gives most realistic look (check samples to get an idea of negatives i used)
• add "asian, chinese" to negative if you're looking for ethnicities other than Asian
• Light, shadows, and details are excellent without extra keywords
• If you're looking for a natural effect, avoid "cinematic"
• avoid using "1girl" since it pushes things to render/anime style
• to much description of the face will turn out bad mostly
• no extra noise-offset needed, but u can if you like to 😉

How to use?

Prompt: simple explanation of the image (try first without extra keywords)
Negative: "cartoon, painting, illustration, (worst quality, low quality, normal quality:2)"
Steps: >50 (if image has errors or artefacts use higher steps)
CFG Scale: 5.0 (higher config scale can lose realism, depends on prompt, sampler and steps)
Size: 512x768 or 768x512

Use it with 🧨 diffusers

This model can be used just like any other Stable Diffusion model. For more information, please have a look at the Diffusers.

import torch
from diffusers import DiffusionPipeline

pipe = DiffusionPipeline.from_pretrained(
  'kamillaova/epiCRealism',
  torch_dtype=torch.float16
).to('cuda')

img = pipe(
  prompt='positive prompt',
  negative_prompt='negative prompt',

  guidance_scale=5.0,
  num_inference_steps=50,
  width=512, height=768,
).images[0]

img.save('image.png')