Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photorealistic
Realistic
Analog
Portrait
Semi-Realistic
stable-diffusion
stable-diffusion-diffusers
SG_161222
epinikion
Instructions to use Yntec/epiCVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/epiCVision 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/epiCVision", 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
epiCVision
A mix of epicRealism and realisticVision. I don't like false modesty, I claim this is better than either model:
Sample and prompt:
very cute princess with curly hair wearing choker who would marry me
Original pages:
https://civitai.com/models/25694?modelVersionId=30761
https://civitai.com/models/4201?modelVersionId=5196
Full recipe:
Add Difference 1.0
Primary model:
epicRealism
Secondary model:
epicRealism
Tertiary model:
v1-5-pruned-fp16-no-ema (https://huggingface.co/Yntec/DreamLikeRemix/resolve/main/v1-5-pruned-fp16-no-ema.safetensors)
Output Model:
Temporary
Weighted Sum 0.70
Primary model:
RealisticVision
Secondary model:
Temporary
Output Model:
epiCVision
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