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("quincyqiang/dashdash-rabit-heywhale", dtype=torch.bfloat16, device_map="cuda")
prompt = "illustration of a dashdash toy 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 dashdash concept trained by quincyqiang.
This is a Stable Diffusion model fine-tuned on the dashdash concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of dashdash rabit
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 rabit 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('quincyqiang/dashdash-rabit-heywhale')
image = pipeline().images[0]
image
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