Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
heywhale
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("chenglu/taolu-road-heywhale", dtype=torch.bfloat16, device_map="cuda")
prompt = "A Godzilla sleep on the taolu road, with a ps5 in it's hand"
image = pipe(prompt).images[0]DreamBooth model for the taolu concept trained by chenglu.
This is a Stable Diffusion model fine-tuned on the taolu concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of taolu road
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 road images for the landscape theme. For the HF Dreambooth hackathon, from Hugging Face China Commuinity, Collabration with the HeyWhale platform.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('chenglu/taolu-road-heywhale')
image = pipeline().images[0]
image
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