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 Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.fp16.safetensors from Yntec/GrandPrix: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Yntec/GrandPrix/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
- Command line
-
hf download hf://Yntec/GrandPrix/vae/diffusion_pytorch_model.fp16.safetensors
-
curl -L -o diffusion_pytorch_model.fp16.safetensors https://huggingface.co/Yntec/GrandPrix/resolve/main/vae/diffusion_pytorch_model.fp16.safetensors
335 MB
- Xet hash:
- e002e64f1f01324e20f13870d3e6f44ee8965dafa93ba6708ad041106e3c6420
- Size of remote file:
- 335 MB
- SHA256:
- d9a9db65b55c2aff1fffed82db646faedb21d564473c48168eded4ea5cf961d7
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