Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Photorealism
anime
art
artistic
darkstorm2150
stable-diffusion
stable-diffusion-1.5
stable-diffusion-diffusers
Instructions to use Yntec/Prodigy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Prodigy 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/Prodigy", 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:
- 7997ac49f23c9bb4099ee168cf7c2735082351b220baa7ee44771c0423f18387
- Size of remote file:
- 3.26 GB
- SHA256:
- 1014b89a3859dd887a33f1d305964a16727d135c4831e716b1a581361a8a8508
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