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dongOi071102/
wuerstchen-prior-meme-lora-epochs-10

Name: wuerstchen-prior-meme-lora-epochs-10
Availability: InStock

dongOi071102/meme-pretreatment-dataset-100rows

warp-ai/wuerstchen-prior

adapter

mit

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LoRA Finetuning - dongOi071102/wuerstchen-prior-meme-lora-epochs-10

This pipeline was finetuned from warp-ai/wuerstchen-prior on the dongOi071102/meme-pretreatment-dataset-100rows dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['a cartoon character with a big smile']:

Pipeline usage

You can use the pipeline like so:

python

from diffusers import DiffusionPipeline
import torch

pipeline = AutoPipelineForText2Image.from_pretrained(
                "warp-ai/wuerstchen", torch_dtype=float32
            )
# load lora weights from folder:
pipeline.prior_pipe.load_lora_weights("dongOi071102/wuerstchen-prior-meme-lora-epochs-10", torch_dtype=float32)

image = pipeline(prompt=prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

LoRA rank: 8
Epochs: 10
Learning rate: 1e-05
Batch size: 8
Gradient accumulation steps: 1
Image resolution: 512
Mixed-precision: fp16

More information on all the CLI arguments and the environment are available on your wandb run page.