This is an implementation of a ComfyUI LoRA workflow as a Cog model. Cog packages machine learning models as standard containers.
First, download the pre-trained weights:
cog run script/download-weights
Then, you can run predictions:
cog predict r8.im/bryantanjw/entropy-lol@sha256:c5ee23596b3f22ba9a58242c0ae34d264e4eb6f599386a1577b37ed0243a1870 \
-i 'cfg=7' \
-i 'lora="gaming/Ahri.safetensors"' \
-i 'steps=30' \
-i 'width=720' \
-i 'height=1080' \
-i 'batch_size=4' \
-i 'input_prompt="masterpiece, (detailed, highres, best quality), 1girl, IncrsAhri, braid, fox tail, multiple tails, korean clothes, skirt, blurry, blurry background, arms behind back, seductive smile,"' \
-i 'sampler_name="dpmpp_2m"' \
-i 'lora_strength=1' \
-i 'negative_prompt="(worst quality:1.4), (low quality:1.4),"' \
-i 'checkpoint_model="Aniverse.safetensors"'
The workflow used for this repo is found under:
workflow/entropy_workflow.json
"masterpiece, (detailed, highres, best quality), 1girl, IncrsAhri, braid, fox tail, multiple tails, korean clothes, skirt, blurry, blurry background, arms behind back, seductive smile"
