Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Realism
Portrait
Photo
ChangeMeNot
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/ThisIsReal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ThisIsReal 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/ThisIsReal", 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:
- df4347e1df3581da30f90a46b91b8c503ff80871bdacde32e6ba9ce2d2fe8944
- Size of remote file:
- 4.27 GB
- SHA256:
- f6a6afbd5517da53920f1728563fb5c6aad2a870e05a43b6d2075fee850af3e9
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.