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Tasks
text-to-image
Frameworks
diffusers
Hardware-aware snippets
Runtime-specific quick starts for lynaNSFW/LTX2.3_NSFW_motion. Detected hardware: No explicit hardware metadata.
Task: text-to-imageDiffusers
NVIDIA CUDA path
Best default for NVIDIA GPUs and hosted accelerator nodes.
pip install torch diffusers transformers accelerate
python - <<'PY'
import torch
from diffusers import DiffusionPipeline
model_id = "lynaNSFW/LTX2.3_NSFW_motion"
pipe = DiffusionPipeline.from_pretrained(
model_id,
torch_dtype=torch.float16,
)
pipe = pipe.to("cuda")
image = pipe("A clean product hero image, studio lighting").images[0]
image.save("inferix-output.png")
PYModel lineage
1 reposBase model
lynaNSFW/LTX2BFNFinetuned
1LTX2.3_NSFW_motionselected
Quantizations
0No quantization variants detected.
Model info
Namespace
lynaNSFW
Visibility
public
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0/0 fitNot available for inference yet.
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Tags
importedhuggingfaceminiodiffuserstext-to-imageloratemplate:diffusion-lorabase_model:lynaNSFW/LTX2BFNbase_model:adapter:lynaNSFW/LTX2BFNregion:us