Instructions to use glides/epicrealism with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use glides/epicrealism with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("glides/epicrealism", torch_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 Settings
- Draw Things
- DiffusionBee
| library_name: diffusers | |
| license: mit | |
| ## Epic Realism Model Card | |
| epiCRealism is a latent text-to-image diffusion model capable of generating images of people, mainly, and other things, as photorealistically as possible. For more information about how Stable Diffusion functions, please have a look at 🤗's [Stable Diffusion blog](https://huggingface.co/blog/stable_diffusion). | |
| You can use this with the 🧨Diffusers library from [Hugging Face](https://huggingface.co). | |
|  | |
| ### Diffusers | |
| ```py | |
| from diffusers import StableDiffusionPipeline | |
| import torch | |
| pipeline = StableDiffusionPipeline.from_pretrained("glides/epicrealism").to("cuda") | |
| image = pipeline(prompt="a cat playing in a box").images[0] | |
| image.save("cat.png") | |
| ``` | |
| ### Limitations | |
| - The model does not achieve perfect drawing photorealism | |
| - The model cannot render legible text | |
| ### Developed by | |
| - epinikion | |
| *This model card was written by Noa Roggendorff and is based on the [Stable Diffusion v1-5 Model Card](https://huggingface.co/runwayml/stable-diffusion-v1-5).* |