Instructions to use Runware/pony-v7-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/pony-v7-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/pony-v7-base", 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 transformer/diffusion_pytorch_model-00001-of-00003.safetensors from Runware/pony-v7-base: direct link, hf CLI and curl.
- Browser
- Download file 9.99 GB
-
https://huggingface.co/Runware/pony-v7-base/resolve/main/transformer/diffusion_pytorch_model-00001-of-00003.safetensors
- Command line
-
hf download hf://Runware/pony-v7-base/transformer/diffusion_pytorch_model-00001-of-00003.safetensors
-
curl -L -o diffusion_pytorch_model-00001-of-00003.safetensors https://huggingface.co/Runware/pony-v7-base/resolve/main/transformer/diffusion_pytorch_model-00001-of-00003.safetensors
9.99 GB
- Xet hash:
- 302ec921a8895aa512692aab5104ba1df527a4746059c199506623a05ba2a347
- Size of remote file:
- 9.99 GB
- SHA256:
- 9193bcfa8e27546ca1daa0f6318dc06fc943c61740a397f8dd40bd88382c7a82
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