Instructions to use GraydientPlatformAPI/3dponyvision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/3dponyvision with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/3dponyvision", 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 text_encoder_2/model.safetensors from GraydientPlatformAPI/3dponyvision: direct link, hf CLI and curl.
- Browser
- Download file 1.39 GB
-
https://huggingface.co/GraydientPlatformAPI/3dponyvision/resolve/main/text_encoder_2/model.safetensors
- Command line
-
hf download hf://GraydientPlatformAPI/3dponyvision/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/GraydientPlatformAPI/3dponyvision/resolve/main/text_encoder_2/model.safetensors
1.39 GB
- Xet hash:
- fabf96928dee87f30425dead2251d0fdf9dde449eb03a0b8307bee5b9365307a
- Size of remote file:
- 1.39 GB
- SHA256:
- c4c25a1c4a399ca01549414c1a6d31c6136472c7d8b263834071c260cb1cc5ce
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