Instructions to use akmalinn/surabaya_monument_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use akmalinn/surabaya_monument_3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("akmalinn/surabaya_monument_3", dtype=torch.bfloat16, device_map="cuda") prompt = "suroboyo monument in the snow" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Surabaya Monument Image Generation with Stable Diffusion
This repository contains a Stable Diffusion model fine-tuned with DreamBooth to generate images of national monuments, specifically from Surabaya. The model is trained to create high-quality, diverse images of these monuments.
Model Details
- Model Name: surabaya_monument_3
- Base Model: Stable Diffusion
- Training Method: Using DreamBooth
- Dataset: Images of national monuments in Surabaya
- more fun https://training-stable-diffusion.vercel.app/
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