Instructions to use AstraliteHeart/pony-diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AstraliteHeart/pony-diffusion with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AstraliteHeart/pony-diffusion", torch_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
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README.md
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# pony-diffusion - >nohooves
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**[Pony Diffusion
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pony-diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality pony SFW-ish images through fine-tuning.
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# pony-diffusion - >nohooves
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**[Pony Diffusion V4 is now live!](https://huggingface.co/AstraliteHeart/pony-diffusion-v4)**
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pony-diffusion is a latent text-to-image diffusion model that has been conditioned on high-quality pony SFW-ish images through fine-tuning.
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