Text-to-Image
Diffusers
TensorBoard
PyTorch
StableDiffusionPipeline
stable-diffusion-v2-1-base
diffusion-models-class
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("CSAle/DilbertDiffusion2", dtype=torch.bfloat16, device_map="cuda")
prompt = "dilbert walking his dog"
image = pipe(prompt).images[0]DreamBooth model for the Dilbert concept trained by CSAle on the CSAle/DilbertDiffusionDataset dataset.
This is a Stable Diffusion model fine-tuned on the Dilbert concept. It can be used by modifying the instance_prompt: dilbert
Description
A DilbertDiffusion model
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('CSAle/DilbertDiffusion2')
image = pipeline().images[0]
image
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