Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
dreambooth-hackathon
landscape
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Apocalypse-19/Genshin-Landscape-Diffusion", dtype=torch.bfloat16, device_map="cuda")
prompt = "A photo of ggenshin landscape"
image = pipe(prompt).images[0]Dreambooth Model for Landscapes trained on images from Genshin Impact.
This is a Stable Diffusion model fine-tuned on the landscape concept with DreamBooth. It can be used by modifying the instance_prompt: ggenshin landscape
This model was created as part of the DreamBooth Hackathon 🔥.
Description
Model finetuned on the pictures of Genshin Landscapes, made for the Dreambooth Hackathon, finetuned on Stable diffusion 2.1 Base.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('Apocalypse-19/Genshin-Landscape-Diffusion')
image = pipeline().images[0]
image
Examples
Some examples of images generated by the model are shown below, with their prompts.
A picture of the woods, ggenshin landscape, eerie
the Colosseum, ggenshin landscape
Savannah, ggenshin landscape
A picture of a river of blood, ggenshin landscape
Massive tree, ggenshin landscape
Lake, ggenshin landscape
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