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
Download Prodigy.safetensors from Yntec/Prodigy: direct link, hf CLI and curl.
- Browser
- Download file 3.02 GB
-
https://huggingface.co/Yntec/Prodigy/resolve/main/Prodigy.safetensors
- Command line
-
hf download hf://Yntec/Prodigy/Prodigy.safetensors
-
curl -L -o Prodigy.safetensors https://huggingface.co/Yntec/Prodigy/resolve/main/Prodigy.safetensors
3.02 GB
- Xet hash:
- ba5897549aabf2065bf69dff61db6eb4e25e34e6410735ebda23bce832cda677
- Size of remote file:
- 3.02 GB
- SHA256:
- 92b052711350554056e3fe47c970a79007571ceba772bb893cc6e0fac4fdd7c0
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