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 text_encoder_2/model.safetensors from akoyaki/ponynai3_v6_diffusers: direct link, hf CLI and curl.
- Browser
- Download file 2.78 GB
-
https://huggingface.co/akoyaki/ponynai3_v6_diffusers/resolve/472980d6fee6ccd3a1f582ea069a1074c6727bd8/text_encoder_2/model.safetensors
- Command line
-
hf download hf://akoyaki/ponynai3_v6_diffusers@472980d6fee6ccd3a1f582ea069a1074c6727bd8/text_encoder_2/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/akoyaki/ponynai3_v6_diffusers/resolve/472980d6fee6ccd3a1f582ea069a1074c6727bd8/text_encoder_2/model.safetensors
2.78 GB
- Xet hash:
- 30673cb775121c024a7b3dfc2f35915c89ab5a7c90cdad44eaaddde0ff4e6156
- Size of remote file:
- 2.78 GB
- SHA256:
- 931ee4a4fe348b9add87a18c6c743403894893e3067404f8f7848adc997db1d8
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