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']:
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
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Model tree for Tochi2023/Kolizo-design-model
Base model
CompVis/stable-diffusion-v1-2