Instructions to use gitgato/EpicReal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gitgato/EpicReal with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("gitgato/EpicReal") prompt = "photo real" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
metadata
tags:
- text-to-image
- stable-diffusion
- lora
- diffusers
- template:sd-lora
widget:
- text: photo real
parameters:
negative_prompt: low quality
output:
url: >-
images/Default_Design_biblic_pensil_image_with_four_beautiful_goddess_1.jpg
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: null
license: creativeml-openrail-m
EpicRealism

- Prompt
- photo real
- Negative Prompt
- low quality
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.