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
- Draw Things
- DiffusionBee
Pony V7 GGUFs
Install the ComfyUI GGUF nodes by City96 before using these workflows.
We recommend Q8_0 for the best balance between quality and file size.
| VARIANT | MAX VRAM |
|---|---|
| F16 | ~16GB |
| Q8_0 | ~10GB |
| Q6_K | ~8GB |
| Q5_K_M | ~7GB |
| Q4_0 | ~6.5GB |
| Q4_K_M | ~6.5GB |
| Q3_K_L | ~6GB |
| Q3_K_S | ~6GB |
| Q2_K | ~5GB |
Download ComfyUI workflow for GGUF here.
