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Sponsored by
APIMart
pabRomero / sd-kanji-model-lora
Model's Last Updated: February 22 2025
text-to-image
Introduction of sd-kanji-model-lora
Model Details of sd-kanji-model-lora
Text-to-image finetuning - pabRomero/sd-kanji-model-lora
This pipeline was finetuned from CompVis/stable-diffusion-v1-4 on the training_data_thick dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['Tree']:
Pipeline usage
You can use the pipeline like so:
from diffusers import DiffusionPipeline
import torch
pipeline = DiffusionPipeline.from_pretrained("pabRomero/sd-kanji-model-lora", torch_dtype=torch.float16)
prompt = "Tree"
image = pipeline(prompt).images[0]
image.save("my_image.png")
Training info
These are the key hyperparameters used during training:
- Epochs: 15
- Learning rate: 2e-06
- Batch size: 4
- Gradient accumulation steps: 4
- Image resolution: 128
- Mixed-precision: fp16
More information on all the CLI arguments and the environment are available on your
wandb
run page
.
Intended uses & limitations
How to use
# TODO: add an example code snippet for running this diffusion pipeline
Limitations and bias
[TODO: provide examples of latent issues and potential remediations]
Training details
[TODO: describe the data used to train the model]
Runs of pabRomero sd-kanji-model-lora on huggingface.co
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More Information About sd-kanji-model-lora huggingface.co Model
Url of sd-kanji-model-lora
sd-kanji-model-lora huggingface.co Url
Provider of sd-kanji-model-lora huggingface.co
Other API from pabRomero
Updated:August 15 2024
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