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yiyi_kandinsky_decoder
YiYiXu/yiyi_kandinsky_decoder
yiyi_kandinsky_decoder is a text-to-image model from YiYiXu. 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 kandinsky-community/kandinsky-2-2-decoder on the lambdalabs/pokemon-blip-captions dataset. Below are some example images generated with the finetuned pipeline using the following promp…
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At a glance
- Task
- Text-to-Image
- Library
- diffusers
- License
- creativeml-openrail-m
- Access
- Public
- Created
- Sep 4, 2023
- Updated
- Sep 5, 2023
- SHA
- 72e80e51
Base models
Datasets
Model card
From the Hugging Face model README
Finetuning - YiYiXu/yiyi_kandinsky_decoder
This pipeline was finetuned from kandinsky-community/kandinsky-2-2-decoder on the lambdalabs/pokemon-blip-captions dataset. Below are some example images generated with the finetuned pipeline using the following prompts: ['A robot pokemon, 4k photo']:
Pipeline usage
You can use the pipeline like so:
from diffusers import DiffusionPipeline
import torch
pipeline = AutoPipelineForText2Image.from_pretrained("YiYiXu/yiyi_kandinsky_decoder", torch_dtype=torch.float16)
prompt = "A robot pokemon, 4k photo"
image = pipeline(prompt).images[0]
image.save("my_image.png")
Training info
These are the key hyperparameters used during training:
- Epochs: 2
- Learning rate: 1e-05
- Batch size: 1
- Gradient accumulation steps: 1
- Image resolution: 768
- 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
- Sep 4, 2023
- Updated
- Sep 5, 2023