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:
- 3b966fb686553e5677a4955332173cb699a108eb43557aab458a4724dd0ae202
- Size of remote file:
- 335 MB
- SHA256:
- 1edd8d144721615ed6bc49e07701d9f97419ee79a2ced131a02d72b84601a42e
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