juliajoanna/sd-runwayml-flintstones-model

license: creativeml-openrail-m base_model: runwayml/stable-diffusion-v1-5 datasets:

• —None tags:
• —stable-diffusion
• —stable-diffusion-diffusers
• —text-to-image
• —diffusers inference: true ---

Text-to-image finetuning - juliajoanna/sd-runwayml-flintstones-model

This pipeline was finetuned from runwayml/stable-diffusion-v1-5 on the None dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['Fred is driving a car']:

[image]

Pipeline usage

You can use the pipeline like so:

from diffusers import DiffusionPipeline
import torch

pipeline = DiffusionPipeline.from_pretrained("juliajoanna/sd-runwayml-flintstones-model", torch_dtype=torch.float16)
prompt = "Fred is driving a car"
image = pipeline(prompt).images[0]
image.save("my_image.png")

Training info

These are the key hyperparameters used during training:

• —Epochs: 0
• —Learning rate: 1e-05
• —Batch size: 1
• —Gradient accumulation steps: 4
• —Image resolution: 512
• —Mixed-precision: None

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