Instructions to use AiAF/Diffusers_Pony-Diffusion-V6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiAF/Diffusers_Pony-Diffusion-V6 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiAF/Diffusers_Pony-Diffusion-V6", 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 unet/diffusion_pytorch_model.bin from AiAF/Diffusers_Pony-Diffusion-V6: direct link, hf CLI and curl.
- Browser
- Download file 5.14 GB
-
https://huggingface.co/AiAF/Diffusers_Pony-Diffusion-V6/resolve/refs%2Fpr%2F1/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://AiAF/Diffusers_Pony-Diffusion-V6@refs/pr/1/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/AiAF/Diffusers_Pony-Diffusion-V6/resolve/refs%2Fpr%2F1/unet/diffusion_pytorch_model.bin
5.14 GB
- Xet hash:
- 2b4e8215312e7b92d3e8ab27bdb23dd63bb4e5843ce7d2962c4ba0c89d1d28e4
- Size of remote file:
- 5.14 GB
- SHA256:
- 0ceb2355f02b2fbc0576b0d90f2c11789324906030ba0130fb218106c3413e9a
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