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License
apache-2.0
Tasks
text-to-image
Frameworks
diffusers
Hardware-aware snippets
Runtime-specific quick starts for crynux-network/sdxl-turbo. 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 = "crynux-network/sdxl-turbo"
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
crynux-network/sdxl-turbo
Finetuned
1sdxl-turboselected
Quantizations
0No quantization variants detected.
Model info
Namespace
crynux-network
Visibility
public
Downloads
0
Likes
0
License: apache-2.0
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Metadata links
Base model
Not specifiedTrained on datasets
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Inference providers
0/0 fitNot available for inference yet.
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Tags
importedhuggingfaceminiodiffuserslicense:apache-2.0endpoints_compatiblediffusers:StableDiffusionXLPipelineregion:us