Pokemon Text To Image 2

--- license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 datasets: - lambdalabs/pokemon-blip-captions tags: - stable-diffusion - stable-diffusion-diffusers - text-to-image - diffusers inference: true --- # Text-to-image finetuning - shrikant11/pokemon_text_to_image_2 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: ```python from diffusers import DiffusionPipeline import torch pipeline = DiffusionPipeline.from_pretrained("shrikant11/pokemon_text_to_image_2", 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]().

Source context: 1 downloads · 1 likes · Pipeline text-to-image · Library diffusers · Repo shrikant11/pokemon_text_to_image_2

Source context: 16 downloads · 1 likes · Pipeline text-to-image · Library diffusers · Repo shrikant11/pokemon_text_to_image_2