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License
mit
Tasks
image-to-video
Frameworks
diffusers
Hardware-aware snippets
Runtime-specific quick starts for vantagewithai/SCAIL-2-GGUF-ComfyUI. Detected hardware: No explicit hardware metadata.
Task: image-to-videoDiffusersGGUF
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 = "vantagewithai/SCAIL-2-GGUF-ComfyUI"
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
zai-org/SCAIL-2Finetuned
1SCAIL-2-GGUF-ComfyUIselected
Quantizations
0No quantization variants detected.
Model info
Namespace
vantagewithai
Visibility
public
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0
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0
License: mit
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Tags
importedhuggingfaceminiodiffusersggufcharacter-animationvideo-generationpose-drivendiffusionimage-to-videoarxiv:2512.05905base_model:zai-org/SCAIL-2base_model:quantized:zai-org/SCAIL-2license:mitregion:us