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", 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
| 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 | |
| <Gallery /> | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/gitgato/EpicReal/tree/main) them in the Files & versions tab. | |