Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Photorealistic
Realism
Girls
epinikion
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/epiCPhotoGasm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/epiCPhotoGasm 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/epiCPhotoGasm", 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
Negative prompt support
#3
by sneakad - opened
Do the model support negative prompts too?
Yes, I have created this space to showcase it:
https://huggingface.co/spaces/Yntec/epiCPhotoGASM-Webui-CPU
Unfortunately, there aren't any spaces powered by GPU hosting this model, so expect long wait times like 12 minutes for a 512x512 image and up to 30 minutes for a 768x768 image. Otherwise, the option is to run it locally.
@snead: @Nymbo has created this space that supports negative prompts for this model: khttps://huggingface.co/spaces/Nymbo/HH-ImgGen