Instructions to use Runware/pony-v7-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/pony-v7-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/pony-v7-base", 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
Pony V7 LoRA Training
Training Guide
We recommend using SimpleTuner for LoRA training following this guide.
ComfyUI LoRA Workflow
A LoRA workflow example is available showing how to load and use LoRAs with Pony V7. Simply drag and drop the workflow image into your ComfyUI canvas to load it.
LoRA Conversion Script
convert_simpletuner_lora.py
A utility script to convert SimpleTuner LoRA weights to diffusers-compatible format for AuraFlow models.
Usage:
python convert_simpletuner_lora.py <input_lora.safetensors> <output_lora.safetensors>
This script ensures your LoRAs trained with SimpleTuner can be loaded directly with diffusers' load_lora_weights() method or inside of ComfyUI's LoRA nodes.