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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 2e05d60ee0cc24d82b848bd9e15115594e0bd44d9e2191039fc4e0cab42ff3fc
- Size of remote file:
- 1.72 GB
- SHA256:
- 4cc9174114eb05bd7dd5460a827dfa77c2b516e8e2ad40527936046e26df0fe8
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