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("kid502/bcapis-owl", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of flying bcapis owl"
image = pipe(prompt).images[0]DreamBooth model for the bcapis concept trained by kid502 on the kid502/Bubo-capensis-dataset dataset.
This is a Stable Diffusion model fine-tuned on the bcapis concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of bcapis owl
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 owl images.
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('kid502/bcapis-owl')
image = pipeline().images[0]
image
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