--- license: creativeml-openrail-m base_model: stabilityai/stable-diffusion-2-1 datasets: - suvadityamuk/japanese-kanji tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers inference: true --- # Text-to-image finetuning - suvadityamuk/stable-diffusion-japanese-kanji This pipeline was finetuned from **stabilityai/stable-diffusion-2-1** on the **suvadityamuk/japanese-kanji** dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['deep learning', 'elon musk', 'india', 'sakana', 'fish', 'foundation', 'neural network', 'machine learning', 'man', 'woman', 'tokyo', 'mumbai', 'google', 'youtube', 'deepmind', 'attention', 'diffusion', 'stability']: ![val_imgs_grid](./val_imgs_grid.png) ## Pipeline usage You can use the pipeline like so: ```python from diffusers import DiffusionPipeline import torch pipeline = DiffusionPipeline.from_pretrained("suvadityamuk/stable-diffusion-japanese-kanji", torch_dtype=torch.float16) prompt = "deep learning" image = pipeline(prompt).images[0] image.save("my_image.png") ``` ## Training info These are the key hyperparameters used during training: * Epochs: 20 * Learning rate: 0.00025 * Batch size: 128 * Gradient accumulation steps: 4 * Image resolution: 128 * Mixed-precision: bf16 More information on all the CLI arguments and the environment are available on your [`wandb` run page](https://wandb.ai/suvadityamuk/sakana-kanji/runs/ymtm4e77).