PixCell-256-Cell-ControlNet
67
1
license:cc-by-nc-nd-4.0
by
StonyBrook-CVLab
Other
OTHER
New
67 downloads
Early-stage
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Quick Summary
AI model with specialized capabilities.
Code Examples
Load PixCell-256-Cell-ControlNet modelpythonpytorch
import torch
from diffusers import DiffusionPipeline
from diffusers import AutoencoderKL
device = torch.device('cuda')
# We do not host the weights of the SD3 VAE -- load it from StabilityAI
sd3_vae = AutoencoderKL.from_pretrained("stabilityai/stable-diffusion-3.5-large", subfolder="vae")
pipeline = DiffusionPipeline.from_pretrained(
"StonyBrook-CVLab/PixCell-256-Cell-ControlNet",
vae=sd3_vae,
custom_pipeline="StonyBrook-CVLab/PixCell-pipeline-ControlNet",
trust_remote_code=True,
)
pipeline.to(device);Deploy This Model
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