Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("MThonar/Linkk", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]DreamBooth model of Link trained by MThonar on the MThonar/link dataset.
This is a Stable Diffusion model fine-tuned with Dreambooth on images of Linkk. It can be used by modifying the instance_prompt: a photo of Linkk
Description
This is a Stable Diffusion model fine-tuned on images of Linkk.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('MThonar/Linkk')
image = pipeline().images[0]
image
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