Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("ahmadmac/Images_Generation", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of Ahmad, with a neatly trimmed beard and styled hair, wearing a dark green sweater and black jeans, sitting in a rustic café with a cup of tea and a notebook."
image = pipe(prompt).images[0]Model trained by ahmadmac on the ahmadmac/human dataset.
This is a Stable Diffusion model fine-tuned on my own images. It can be used by modifying the instance_prompt: **a photo of Ahmad **
Description
This is a Stable Diffusion model fine-tuned on my own images.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('ahmadmac/Images_Generation')
image = pipeline().images[0]
image
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