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.
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Base model
runwayml/stable-diffusion-v1-5