Text-to-image finetuning - shrikant11/pokemon_text_to_image

This bla bla pipeline was finetuned from runwayml/stable-diffusion-v1-5 on the lambdalabs/pokemon-blip-captions dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['Pokemon with yellow eyes', 'Green colour pokemon', 'Blue colour pikacchu', 'Charlizzard', 'pikachu', 'dangerous looking pokemon']:

Pipeline usage

You can use the pipeline like so:

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("shrikant11/pokemon_text_to_image", torch_dtype=torch.float16)
prompt = "Pokemon with yellow eyes"
image = pipeline(prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

• Epochs: 1
• Learning rate: 1e-05
• Batch size: 1
• Gradient accumulation steps: 1
• Image resolution: 512
• Mixed-precision: None

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