Tochi2023/kolizo-designs-dataset
Viewer • Updated • 10 • 7
How to use Tochi2023/Kolizo-design-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Tochi2023/Kolizo-design-model", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]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']:
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")
These are the key hyperparameters used during training:
Base model
CompVis/stable-diffusion-v1-2