Instructions to use InstantX/SD3-Controlnet-Pose with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use InstantX/SD3-Controlnet-Pose with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("InstantX/SD3-Controlnet-Pose", 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
What are the minimum hardware specs (CPU/GPU/RAM/VRAM) for this model?
#8
by yangSamoyed - opened
Hi! Thank you for the amazing work!
I encountered a freezing issue when running the model. Could you help clarify what the minimum hardware specs (CPU/GPU/RAM/VRAM) are for this model?
Is my setup sufficient for smooth operation?
CPU: 12th Gen Intel i7-12700
RAM: 32GB
GPU: NVIDIA RTX 4060 Ti (16GB VRAM)