Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photorealistic
Base model
Abstract
Timeless
Film
Art
Fenn
Fusch
wildzzz
wavymulder
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/RealTime with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/RealTime 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/RealTime", 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:
- a57ee9e214b42da6ccb0d32afb064ade35ee9e024f2b7efac1692206d463c9f7
- Size of remote file:
- 2.95 GB
- SHA256:
- 5a8ee79e4fc84cd0dd02576c0a0bd4fea8b19c992bc4c2b25a994fc3e67763c7
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