Downloads · 30 days
1
11% of all-time downloads
ArturoSprint
theBrokenCat/ArturoSprint
ArturoSprint is a text-to-image model from theBrokenCat. 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 theBrokenCat/SprintDataset-0.1 dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['Un promp…
All-time downloads
9
Public
Parameters
860M
112 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors60.5 GB · 52%
At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Access
- Public
- Created
- Feb 23, 2024
- Updated
- Feb 23, 2024
- SHA
- 7f4ba17b
Base models
Datasets
Model card
From the Hugging Face model README
Text-to-image finetuning - theBrokenCat/ArturoSprint
This pipeline was finetuned from CompVis/stable-diffusion-v1-4 on the theBrokenCat/SprintDataset-0.1 dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['Un prompt de ejemplo']:
Pipeline usage
You can use the pipeline like so:
from diffusers import DiffusionPipeline
import torch
pipeline = DiffusionPipeline.from_pretrained("theBrokenCat/ArturoSprint", torch_dtype=torch.float16)
prompt = "Un prompt de ejemplo"
image = pipeline(prompt).images[0]
image.save("my_image.png")
Training info
These are the key hyperparameters used during training:
- Epochs: 13
- Learning rate: 1e-05
- Batch size: 1
- Gradient accumulation steps: 4
- Image resolution: 512
- Mixed-precision: None
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Created
- Feb 23, 2024
- Updated
- Feb 23, 2024