Pony Diffusion V6 XL
Stableby PurpleSmartAI
Specialized SDXL fine-tune primarily for furry, anthropomorphic, and stylized character art. Uses score-based prompt system (score_9, score_8_up). Also capable of anime and general illustration but requires specific prompting syntax.
VRAM requirements, GPU fit, and setup notes for Pony Diffusion V6 XL, including 8GB/12GB fit guidance where relevant. Recommended runtimes: ComfyUI, Automatic1111, and Diffusers support. Best download size: ~6.9 GB at FP16.
- Furry and anthropomorphic character art specialist
- Score-based quality tag prompting system (score_9, score_8_up)
- Also capable of anime and general illustration
- Full SDXL ControlNet and LoRA compatibility
Your hardware
Detecting...
Image Quality Benchmarks
Measured quality metrics for Pony Diffusion V6 XL outputs.
How often humans prefer this model's output (0-100%)
Visual quality and composition rating (5-9 scale)
VRAM Requirements by Resolution and Precision
Compare which GPUs can run Pony Diffusion V6 XL at different precisions. FP8 uses less memory than FP16 when available, and the grade shows how comfortably each GPU handles the workload.
FP16 (full precision)
| Resolution | VRAM Required | RTX 4090 24GB | RTX 3060 12GB | RTX 4060 8GB | MacBook Pro M4 Pro 24GB |
|---|---|---|---|---|---|
| 512×512 | 7.6 GB | S● | S● | B● | S● |
| 768×768 | 7.8 GB | S● | S● | B● | S● |
| 1024×1024 | 8.0 GB | S● | S● | B● | S● |
Optimization Tips
Turbo / LCM distillation
Use distilled scheduler at 4-8 steps for faster iteration
ControlNets available
Add guided generation with 3 adapters (+1.2 GB VRAM each)
Rich LoRA ecosystem
Customize style, characters, and quality with community LoRAs
Run with Python
from diffusers import StableDiffusionXLPipeline
import torch
pipe = StableDiffusionXLPipeline.from_pretrained(
"LyliaEngine/Pony_Diffusion_V6_XL",
torch_dtype=torch.float16
)
pipe.to("cuda")
image = pipe(
prompt="your prompt here",
num_inference_steps=25,
guidance_scale=7.5,
height=1024,
width=1024,
).images[0]
image.save("output.png")Get started
Setup instructions for running Pony Diffusion V6 XL locally
1. Download the model
Get the checkpoint from HuggingFace
2. Place in:
ComfyUI/models/checkpoints/3. Launch ComfyUI
python main.pyMemory Breakdown
VRAM allocation at 1024×1024 on RTX 4090 24GB (24 GB)
Estimated Generation Time
Time per image at 1024×1024, 28 steps, FP16.
Sample Outputs
Available Formats, Downloads & Setup
Download Pony Diffusion V6 XL in the precision that matches your GPU. Lower precision usually means less VRAM pressure, while higher precision keeps more quality.
| 格式 | 精度 | 大小 | 提供商 | |
|---|---|---|---|---|
| safetensors推荐 | FP16 | 6.9 GB | LyliaEngine | 下载 |
ControlNet Support
3 ControlNets available for Pony Diffusion V6 XL. ControlNets add guided image generation (edges, depth, pose) at the cost of extra VRAM.
Canny Edge (SDXL)
+1.2 GB VRAMInherits SDXL base model ControlNet compatibility. Edge-based structural guidance.
Depth Map (SDXL)
+1.2 GB VRAMInherits SDXL base model ControlNet compatibility. Depth-based spatial control.
OpenPose (SDXL)
+1.2 GB VRAMInherits SDXL base model ControlNet compatibility. Human pose control.
LoRA Ecosystem
Large EcosystemLarge Pony-specific LoRA ecosystem on CivitAI, plus compatibility with general SDXL LoRAs.
Browse all LoRAs on CivitAIRelated Workflows
You might also like
Frequently asked questions
FAQ — Pony Diffusion V6 XL VRAM, Runtimes & Fit
How much VRAM does Pony Diffusion V6 XL need?
Pony Diffusion V6 XL (2.6B parameters) requires approximately 8.0 GB of VRAM at FP16 precision for standard 1024×1024 image generation. If you want a lighter setup, lower precisions like FP8 can reduce memory use when available.
Can I run Pony Diffusion V6 XL on an 8GB GPU?
Pony Diffusion V6 XL usually needs more than 8GB for comfortable local use. Check the VRAM table above for the exact resolution and precision trade-off.
Does Pony Diffusion V6 XL work in ComfyUI and Automatic1111?
Pony Diffusion V6 XL is marked for ComfyUI, Automatic1111, and Diffusers support in our catalog, so those are the runtimes we recommend first for local setup. If your workflow uses another front end, check the model's available formats and workflow notes above before downloading.
Can I run Pony Diffusion V6 XL on RTX 4090?
Yes, the RTX 4090 (24 GB VRAM) can run Pony Diffusion V6 XL comfortably at FP16. Expected generation time is around ~4.5s per image at 1024×1024.
Does Pony Diffusion V6 XL support ControlNet?
Yes, Pony Diffusion V6 XL has 3 ControlNet adapters available: Canny Edge (SDXL), Depth Map (SDXL), OpenPose (SDXL). Each ControlNet adds roughly 1.2 GB of extra VRAM.
Does Pony Diffusion V6 XL have LoRA support?
Large Pony-specific LoRA ecosystem on CivitAI, plus compatibility with general SDXL LoRAs. The LoRA ecosystem for Pony Diffusion V6 XL is rated as "large". Each LoRA adds roughly 0.2 GB of extra VRAM.
How fast is Pony Diffusion V6 XL?
On a reference GPU (RTX 4090 24GB), Pony Diffusion V6 XL generates a 1024×1024 image in approximately ~4.5s at FP16 with 28 inference steps. Faster GPUs with higher memory bandwidth will produce images more quickly.
About Pony Diffusion V6 XL
See also