Text-to-Image
Diffusers
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StableDiffusionPipeline
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("akadhim-ai/dilbert-comic-model-v1-2_2k", 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 for the Dilbert concept trained by Ali-fb/dilbert-comic-sample-dataset on the a 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('Ali-fb/dilbert-comic-model-v1-2_2k')
image = pipeline().images[0]
image
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Dataset used to train akadhim-ai/dilbert-comic-model-v1-2_2k