Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
landscape
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("lqy98/mountmount-mountain-heywhale", dtype=torch.bfloat16, device_map="cuda")
prompt = "Streams crossing the mountmount in a sunny day"
image = pipe(prompt).images[0]DreamBooth model for the mountmount concept trained by lqy98.
This is a Stable Diffusion model fine-tuned on the mountmount concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of mountmount mountain
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Concept Image
Output Imgae
Description
This is a Stable Diffusion model fine-tuned on mountain images for the landscape 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('lqy98/mountmount-mountain-heywhale')
image = pipeline().images[0]
image
- Downloads last month
- 5