Sponsored by
Vmake Labs Video Enhancer
linhqyy / sd-pokemon-model
Model's Last Updated: November 12 2023
text-to-image
Introduction of sd-pokemon-model
Model Details of sd-pokemon-model
Text-to-image finetuning - linhqyy/sd-pokemon-model
This pipeline was finetuned from CompVis/stable-diffusion-v1-4 on the lambdalabs/pokemon-blip-captions dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['cute hippo']:
Pipeline usage
You can use the pipeline like so:
from diffusers import DiffusionPipeline
import torch
pipeline = DiffusionPipeline.from_pretrained("linhqyy/sd-pokemon-model", torch_dtype=torch.float16)
prompt = "cute hippo"
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: 4
- Image resolution: 512
- Mixed-precision: fp16
More information on all the CLI arguments and the environment are available on your
wandb
run page
.
Runs of linhqyy sd-pokemon-model on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
-1
30-day runs
More Information About sd-pokemon-model huggingface.co Model
Url of sd-pokemon-model
sd-pokemon-model huggingface.co Url
Provider of sd-pokemon-model huggingface.co
Other API from linhqyy
Total runs:
16
Run Growth:
11
Growth Rate:
68.75%
Total runs:
7
Run Growth:
-59
Growth Rate:
-842.86%
Total runs:
5
Run Growth:
-2
Growth Rate:
-40.00%
Total runs:
4
Run Growth:
3
Growth Rate:
75.00%
Total runs:
2
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%