README.md

metadata

base_model: CompVis/stable-diffusion-v1-4
library_name: diffusers
license: creativeml-openrail-m
inference: true
instance_prompt: >-
  a close-up photo of an apple, two lemon, one lime, one onion, three oranges
  and pear on a rustic wooden table
tags:
  - text-to-image
  - dreambooth
  - diffusers-training
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - dreambooth
  - diffusers-training
  - stable-diffusion
  - stable-diffusion-diffusers

DreamBooth - bhuv1-c/md-intent-prediction-data-2

This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a close-up photo of an apple, two lemon, one lime, one onion, three oranges and pear on a rustic wooden table using DreamBooth. You can find some example images in the following.

DreamBooth for the text encoder was enabled: True.

Intended uses & limitations

How to use

# TODO: add an example code snippet for running this diffusion pipeline

Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

Training details

[TODO: describe the data used to train the model]