Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
wildcard
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("cleexiang/tthero-tank-heywhale", dtype=torch.bfloat16, device_map="cuda")
prompt = "illustration of a tthero tank sitting on top of the deck of a battle ship traveling through the open sea with a lot of ships surrounding it"
image = pipe(prompt).images[0]DreamBooth model for the tthero concept trained by cleexiang.
This is a Stable Diffusion model fine-tuned on the tthero concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of tthero tank
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Description
This is a Stable Diffusion model fine-tuned on tank images for the wildcard theme,
for the Hugging Face DreamBooth Hackathon, from the HF CN Community,
corporated with the HeyWhale.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('cleexiang/tthero-tank-heywhale')
image = pipeline().images[0]
image
- Downloads last month
- 1