Instructions to use Gulsum06/diff-dreambooth-finetuning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Gulsum06/diff-dreambooth-finetuning with Diffusers:
pip install -U diffusers transformers accelerate
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] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
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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