Edit model card

Text-to-image finetuning - shrikant11/text_to_img_1

This 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: ['How are you']:

val_imgs_grid

Pipeline usage

You can use the pipeline like so:

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("shrikant11/text_to_img_1", torch_dtype=torch.float16)
prompt = "How are you"
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
Downloads last month
3
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for shrikant11/text_to_img_1

Finetuned
(598)
this model

Dataset used to train shrikant11/text_to_img_1