ekshat/Stable_Diffussion_Naruto_Style

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/StableDiffussionAnime_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.']:

[image]

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)
pipeline = pipeline.to("cuda")

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