Downloads · 30 days
2
13% of all-time downloads
SouderRocketLauncherNetCombined-v1-4-400
MaxReynolds/SouderRocketLauncherNetCombined-v1-4-400
SouderRocketLauncherNetCombined-v1-4-400 is a text-to-image model from MaxReynolds. Use it when you need an image from a text prompt. It is set up for diffusers. The card lists the license as creativeml-openrail-m.
This pipeline was finetuned from CompVis/stable-diffusion-v1-4 on the MaxReynolds/LeeSouderCombined dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['Rocket La…
All-time downloads
16
Public
Parameters
860M
8.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors5.1 GB · 100%
At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Access
- Public
- Created
- Oct 26, 2023
- Updated
- Oct 26, 2023
- SHA
- 74d7b092
Base models
Datasets
Model card
From the Hugging Face model README
Text-to-image finetuning - MaxReynolds/SouderRocketLauncherNetCombined-v1-4-400
This pipeline was finetuned from CompVis/stable-diffusion-v1-4 on the MaxReynolds/Lee_Souder_Combined dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['Rocket Launcher by Lee Souder']:
Pipeline usage
You can use the pipeline like so:
from diffusers import DiffusionPipeline
import torch
pipeline = DiffusionPipeline.from_pretrained("MaxReynolds/SouderRocketLauncherNetCombined-v1-4-400", torch_dtype=torch.float16)
prompt = "Rocket Launcher by Lee Souder"
image = pipeline(prompt).images[0]
image.save("my_image.png")
Training info
These are the key hyperparameters used during training:
- Epochs: 40
- 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.
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Created
- Oct 26, 2023
- Updated
- Oct 26, 2023