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ButterChicken98/sd15_cottonweed15_rag_k2_qwen_recipe_bs48_snr5_noise01_10k

sourceHugging Facecreativeml-openrail-mupdated 4mo agoView on Hugging Face
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Model Card

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Text-to-image finetuning - ButterChicken98/sd15cottonweed15ragk2qwenrecipebs48snr5noise01_10k

This pipeline was finetuned from stable-diffusion-v1-5/stable-diffusion-v1-5 on the ButterChicken98/CottonWeedID15_RAG_Captions dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A close-up field photo of Carpetweed, single seedling, small oval leaves with smooth edges, sandy soil background, natural daylight.', 'A close-up field photo of Morningglory weed, heart-shaped green leaves, natural soil background, daylight.', 'A close-up field photo of Palmer Amaranth weed seedling, pointed oval leaves, green upright stem, daylight.', 'A close-up field photo of Waterhemp weed plant, narrow lance-shaped leaves, green upright seedling, soil background.']:

[image]

Pipeline usage

You can use the pipeline like so:

python
from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("ButterChicken98/sd15_cottonweed15_rag_k2_qwen_recipe_bs48_snr5_noise01_10k", torch_dtype=torch.float16)
prompt = "A close-up field photo of Carpetweed, single seedling, small oval leaves with smooth edges, sandy soil background, natural daylight."
image = pipeline(prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

  • —Epochs: 92
  • —Learning rate: 1e-05
  • —Batch size: 48
  • —Gradient accumulation steps: 1
  • —Image resolution: 512
  • —Mixed-precision: bf16

More information on all the CLI arguments and the environment are available on your `wandb` run page.

Intended uses & limitations

How to use
python
# 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]