Instructions to use aztro/pony-iat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aztro/pony-iat with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("aztro/pony-iat") prompt = "score_9, score_8_up, score_7_up, score_6_up, score_5_up, score_4_up, explicit photography, v4n1lla, realistic, erotic photography, large, rustic cabin, living room with fireplace, rustic, large window, morning light coming in, view of the mountains BREAK, (blonde-haired girl), with freckles, 30 years old, straight hair, beautiful blue eyes, thin, large breasts, ((nude)), ((blowjob, penis)), perfect anatomy BREAK, lying on back, naughty face, horny face, perfect innie pussy, golden hour, bokeh, warm lighting, expressiveh" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Welcome to the community
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