Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Vectors
Art
Style
Game assets
Icons
Emojis
coder119
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/Veritas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Veritas 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/Veritas", 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:
- 5b83c7598234ae0ae94d86dda1486cec2bcc2973fe2b9782d5a367680a5fc83c
- Size of remote file:
- 4.27 GB
- SHA256:
- 09a4d1f95e96433776f63a5998c030bfe158358d06101702e4d4d842e798077a
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