Edit model card

Text-to-image finetuning - Tochi2023/Kolizo-design-model

This pipeline was finetuned from CompVis/stable-diffusion-v1-2 on the Tochi2023/kolizo-designs-dataset dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['black shirt with tree by kolizo design']:

val_imgs_grid

Pipeline usage

You can use the pipeline like so:

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("Tochi2023/Kolizo-design-model", torch_dtype=torch.float16)
prompt = "black shirt with tree by kolizo design"
image = pipeline(prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

  • Epochs: 7
  • Learning rate: 1e-05
  • Batch size: 1
  • Gradient accumulation steps: 4
  • Image resolution: 512
  • Mixed-precision: no
Downloads last month
3
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for Tochi2023/Kolizo-design-model

Finetuned
(7)
this model

Dataset used to train Tochi2023/Kolizo-design-model