Instructions to use akoyaki/ponynai3_v6_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akoyaki/ponynai3_v6_diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("akoyaki/ponynai3_v6_diffusers", 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 vae/diffusion_pytorch_model.safetensors from akoyaki/ponynai3_v6_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/akoyaki/ponynai3_v6_diffusers/resolve/472980d6fee6ccd3a1f582ea069a1074c6727bd8/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://akoyaki/ponynai3_v6_diffusers@472980d6fee6ccd3a1f582ea069a1074c6727bd8/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/akoyaki/ponynai3_v6_diffusers/resolve/472980d6fee6ccd3a1f582ea069a1074c6727bd8/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 122865316faf09b1b1e84270bdaaf9e11d5d03cd8855995d38958f0ed50e80fd
- Size of remote file:
- 335 MB
- SHA256:
- 48c8a17f63858c7621f7910d109f7477fd64b52ad64938af2e4cd11cfceeb480
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