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nano-sd-tuned-sample
kopyl/nano-sd-tuned-sample
nano-sd-tuned-sample is a text-to-image model from kopyl. 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 lambdalabs/miniSD-diffusers on the kopyl/833-icons-dataset-1024-blip-large dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['p…
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At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Access
- Public
- Created
- Dec 11, 2023
- Updated
- Dec 11, 2023
- SHA
- eb57ec7f
Base models
Model card
From the Hugging Face model README
Text-to-image finetuning - kopyl/nano-sd-tuned-sample
This pipeline was finetuned from lambdalabs/miniSD-diffusers on the kopyl/833-icons-dataset-1024-blip-large dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['photo of a frog']:
Pipeline usage
You can use the pipeline like so:
from diffusers import DiffusionPipeline
import torch
pipeline = DiffusionPipeline.from_pretrained("kopyl/nano-sd-tuned-sample", torch_dtype=torch.float16)
prompt = "photo of a frog"
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: 1
- Image resolution: 256
- 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
- Dec 11, 2023
- Updated
- Dec 11, 2023