Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photorealistic
Realistic
Analog
Portrait
Semi-Realistic
stable-diffusion
stable-diffusion-diffusers
SG_161222
epinikion
Instructions to use Yntec/epiCVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/epiCVision 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/epiCVision", 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:
- 4348e96908294a475ed13216b5aa7e9b713415b9e8f6827793efbe0bc6f4c7e9
- Size of remote file:
- 492 MB
- SHA256:
- 88c45e97f8d74e0ee57047f296af185f6f373795dadf15e0733af9d11899b1a0
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