metadata

license: creativeml-openrail-m
base_model: ekshat/stable-diffusion-anime-style
datasets:
  - lambdalabs/naruto-blip-captions
tags:
  - stable-diffusion
  - stable-diffusion-diffusers
  - text-to-image
  - diffusers
inference: true

Text-to-image finetuning - ekshat/Stable_Diffussion_Anime_Style

This pipeline was finetuned from ekshat/stable-diffusion-anime-style on the lambdalabs/naruto-blip-captions dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A person with blue eyes.']:

Pipeline usage

You can use the pipeline like so:

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("ekshat/Stable_Diffussion_Anime_Style", torch_dtype=torch.float16)
prompt = "A person with blue eyes."
image = pipeline(prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

Epochs: 17
Learning rate: 2e-06
Batch size: 2
Gradient accumulation steps: 1
Image resolution: 512
Mixed-precision: fp16