Text-to-image finetuning - juliajoanna/sd2-1-flintstones-model
This pipeline was finetuned from stabilityai/stable-diffusion-2-1 on the None dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['Fred is driving a car']:
Pipeline usage
You can use the pipeline like so:
from diffusers import DiffusionPipeline
import torch
pipeline = DiffusionPipeline.from_pretrained("juliajoanna/sd2-1-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
- Downloads last month
- 8
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 juliajoanna/sd2-1-flintstones-model
Base model
stabilityai/stable-diffusion-2-1