Readme
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Model description
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Intended use
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Ethical considerations
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Caveats and recommendations
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pip install replicate
REPLICATE_API_TOKEN
environment variable:export REPLICATE_API_TOKEN=<paste-your-token-here>
Find your API token in your account settings.
import replicate
Run cloneofsimo/lora_pti using Replicate’s API. Check out the model's schema for an overview of inputs and outputs.
output = replicate.run(
"cloneofsimo/lora_pti:8a752dd30853f075864d07bec64f16f9603e9a76e95c4fec5d4e40f80cb3797e",
input={
"seed": 1337,
"device": "cuda:0",
"scale_lr": True,
"lora_rank": 4,
"resolution": 512,
"save_steps": 100,
"color_jitter": True,
"lr_scheduler": "constant",
"use_template": "object",
"clip_ti_decay": True,
"use_8bit_adam": False,
"lr_warmup_steps": 0,
"weight_decay_ti": 0,
"learning_rate_ti": 0.0005,
"train_batch_size": 1,
"lr_scheduler_lora": "constant",
"perform_inversion": True,
"weight_decay_lora": 0.001,
"continue_inversion": False,
"learning_rate_text": 0.00001,
"learning_rate_unet": 0.0001,
"max_train_steps_ti": 500,
"placeholder_tokens": "<s1>|<s2>",
"train_text_encoder": True,
"lr_warmup_steps_lora": 0,
"continue_inversion_lr": 0.0001,
"gradient_checkpointing": False,
"max_train_steps_tuning": 1000,
"gradient_accumulation_steps": 4,
"use_face_segmentation_condition": True
}
)
print(output)
To learn more, take a look at the guide on getting started with Python.
No output yet! Press "Submit" to start a prediction.
This model runs on Nvidia A100 (80GB) GPU hardware. We don't yet have enough runs of this model to provide performance information.
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