Downloads · 30 days
0
Ai-tensa/testLoRAs
testLoRAs is a text-to-image model from Ai-tensa. Use it when you need an image from a text prompt. The card lists the license as creativeml-openrail-m.
These LoRAs are experimental LoRAs for WD1.3 to produce high resolution or different aspect ratio images.
Downloads · 30 days
0
Access
Public
Updated Jun 29, 2023
Repo size
1.1 GB
Likes
2
Public
Click a slice to open those files.
.safetensors1.1 GB · 100%
From the Hugging Face model README
These LoRAs are experimental LoRAs for WD1.3 to produce high resolution or different aspect ratio images.
They have fine-tuned from the original WD1.3 or a model merged with LoRA in this repository by thousands of unselected AI illustrations by various authors and models published on the Internet. Each networks has been fine-tuned with a learning rate of 6.0e-5 for 5 epochs on about 5-8k images at batch size 8, using Aspect Ratio Bucketing with a maximum resolution of 768x768. Fine tuning performed by RTX3090 at fp16 with AdamW8bit optimizer and took 2-3 hours for each network.
| LoRA Name | Base model | images | note |
|---|---|---|---|
| hires_test_a | WD1.3 | ~5k | |
| hires_test_b | WD1.3 | ~7k | |
| hires_test_c | WD1.3 + 1.0 * hires_test_a | ~8k | recommended for use with hires_test_a |
| hires_test_d | WD1.3 | ~5k | dim 128, U-net only |
| smooth_test_a | WD1.3 + 2.0 * hires_test_a | ~7k | |
| smooth_test_b | WD1.3 + 2.0 * hires_test_a | ~7k | different seed |
There is probably no overlap between the three image sets (5k, 7k, 8k).
The LoRA are mainly classified into two types: for high-resolution and for smoothing. First, please apply high resolution LoRA at the preferred ratio: 1-2 is recommended for ~768x768, and the higher the resolution, the more weight is recommended. In some cases, especially when weights are large, adverse effects may be observed. In such cases, please consider applying a leveling LoRA.
This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage. The CreativeML OpenRAIL License specifies:
These LoRAs build on the two excellent works: SD1.4, developed by CompVis Researchers, and WD1.3, developed by Anthony Mercurio, Salt, and Cafe.