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
- Draw Things
- DiffusionBee
- Xet hash:
- 230741fcca2202a2260f359d3e3236596f5d20382d5b1edf7d2a92180e47ffd6
- Size of remote file:
- 167 MB
- SHA256:
- 01ff8d64e04485f6ef09ab831ae79461b37b1210abd0b6d6e9ab71c3046ac667
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