fermatresearch / sdxl-lcm-lora-controlnet

An extremely fast all-in-one model to use LCM with SDXL, ControlNet and custom LoRA url's!

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  • 14.7K runs
  • GitHub

If you haven’t yet trained a model on Replicate, we recommend you read one of the following guides.

Pricing

Trainings for this model run on Nvidia A100 (80GB) GPU hardware, which costs $0.0014 per second.

Create a training

Install the Python library:

pip install replicate

Then, run this to create a training with fermatresearch/sdxl-lcm-lora-controlnet:d9db096a as the base model:

import replicate

training = replicate.trainings.create(
  version="fermatresearch/sdxl-lcm-lora-controlnet:d9db096aec79855d1f42d2bd4fc89f2b1ddf7dcd00118a0e21b8f1d5c03be099",
  input={
    ...
  },
  destination=f"{username}/<destination-model-name>"
)

print(training)

Note that before you can create a training, you’ll need to create a model and use its name as the value for the destination field.