Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Base Model
Game Art
General purpose
Logos
Clumsy_Trainer
OneRing
DucHaiten
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/GrandPrix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/GrandPrix 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/GrandPrix", 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:
- 09c4d0aa06e9990d2fe4fbbbd25be5fb71fe1643232fb6ebcb534ef257824127
- Size of remote file:
- 492 MB
- SHA256:
- 0b54cb5c15cf74b216e5dfa8b2b75decb17e5e1a41062f60441c91c845ad5f45
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