Instructions to use gitgato/pony-tessy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use gitgato/pony-tessy with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("gitgato/pony-tessy", dtype=torch.bfloat16, device_map="cuda") prompt = "Generate a photograph of tessy a woman wearing casual clothes and makeup with the following details: natural skin, long and voluminous hair, sharp eyes, a thin nose, shapely lips, an hourglass figure with intricate details, natural light, and high definition." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
pony-tessy
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- Prompt
- Generate a photograph of tessy a woman wearing casual clothes and makeup with the following details: natural skin, long and voluminous hair, sharp eyes, a thin nose, shapely lips, an hourglass figure with intricate details, natural light, and high definition.
- Negative Prompt
- low quality
Trigger words
You should use tessy to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for gitgato/pony-tessy
Base model
strangerzonehf/Flux-Plus-Ponyv6-Realism