Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("CCMat/fluffalpaca-llama-v1", dtype=torch.bfloat16, device_map="cuda")
prompt = "a photo of fluffalpaca llama in front of the Colosseum in Rome"
image = pipe(prompt).images[0]DreamBooth model for the fluffalpaca concept trained on the CCMat/db-aplaca dataset.
This is a Stable Diffusion model fine-tuned on the fluffalpaca concept with DreamBooth. It can be used by modifying the instance_prompt: a photo of fluffalpaca llama
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 llama images for the animal theme.
Training Hyperparemeters
Pretrained Model: stabilityai/stable-diffusion-2
Learning rate: 1e-6
Steps:1078
Usage
from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('CCMat/fluffalpaca-llama-1078')
image = pipeline().images[0]
image
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