import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Gulsum06/diff-dreambooth-finetuning", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Resource GitHub repo: (https://github.com/ShivamShrirao/diffusers/tree/main/examples/dreambooth)
This model is a dreambooth diffusion model for text-to-image generation.
Usage
from diffusers import StableDiffusionPipeline
import torch
pipe = StableDiffusionPipeline.from_pretrained('Gulsum06/diff-dreambooth-finetuning', torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "photo of zwx dog in a bucket"
image = pipe(prompt).images[0]
image
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