fermatresearch
/
sdxl-improved-refiner
Great image quality, good old SDXL with a new and improved Tile refiner.
- Public
- 796 runs
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 L40S GPU hardware, which costs $0.000975 per second.
Create a training
Install the Python library:
pip install replicate
Then, run this to create a training with fermatresearch/sdxl-improved-refiner:58534db9 as the base model:
import replicate
training = replicate.trainings.create(
version="fermatresearch/sdxl-improved-refiner:58534db966a6866fa7e699482ebf8b508a8c39e197bb8ed7ce2d9b1e1cc6527e",
input={
...
},
destination=f"{username}/<destination-model-name>"
)
print(training)
curl -s -X POST \
-d '{"destination": "{username}/<destination-model-name>", "input": {...}}' \
-H "Authorization: Bearer $REPLICATE_API_TOKEN" \
https://api.replicate.com/v1/models/fermatresearch/sdxl-improved-refiner/versions/58534db966a6866fa7e699482ebf8b508a8c39e197bb8ed7ce2d9b1e1cc6527e/trainings
The API response will look like this:
{
"id": "zz4ibbonubfz7carwiefibzgga",
"version": "58534db966a6866fa7e699482ebf8b508a8c39e197bb8ed7ce2d9b1e1cc6527e",
"status": "starting",
"input": {
"data": "..."
},
"output": null,
"error": null,
"logs": null,
"started_at": null,
"created_at": "2023-03-28T21:47:58.566434Z",
"completed_at": null
}
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.