Text-to-Image
Diffusers
Safetensors
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
human
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("ahmadmac/manNew", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of man in the forest"
image = pipe(prompt).images[0]Model trained by ahmadmac on the ahmadmac/human dataset.
This is a Stable Diffusion model fine-tuned. It can be used by modifying the instance_prompt: a photo of man
This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!
Description
This is a Stable Diffusion model fine-tuned on man images .
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('ahmadmac/manNew')
image = pipeline().images[0]
image
- Downloads last month
- 3