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CyberHarem/sol_neuralcloud
sol_neuralcloud is a text-to-image model from CyberHarem. Use it when you need an image from a text prompt. The card lists the license as mit.
This is the LoRA model of waifu sol/ソル/苏尔 (Neural Cloud).
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Updated Feb 18, 2024
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.safetensors5.5 GB · 50%
From the Hugging Face model README
This is the LoRA model of waifu sol/ソル/苏尔 (Neural Cloud).
stage3-p480-800 in CyberHarem/sol_neuralcloud, which contains 38 images.sol_neuralcloud.long_hair, blonde_hair, hair_between_eyes, yellow_eyes, ponytail, very_long_hair, bangs, breasts. You can add them to the prompt when some features of waifu (e.g. hair color) are not stable.Just use it like the classic LoRA. The LoRA we provided are bundled with the embedding file.
After downloading the pt and safetensors files for the specified step, you need to use them simultaneously. The pt file will be used as an embedding, while the safetensors file will be loaded for Lora.
For example, if you want to use the model from step 500, you need to download 500/sol_neuralcloud.pt as the embedding and 500/sol_neuralcloud.safetensors for loading Lora. By using both files together, you can generate images for the desired characters.
We selected 5 good steps for you to choose. The best one is step 500.
1520 images (1.67 GiB) were generated for auto-testing.

The base model used for generating preview images is Meina/MeinaMix_V11.
Here are the preview of the recommended steps:
| Step | Epoch | CCIP | AI Corrupt | Bikini Plus | Score | Download | pattern_0_0 | pattern_0_1 | pattern_0_2 | portrait_0 | portrait_1 | portrait_2 | full_body_0 | full_body_1 | profile_0 | profile_1 | free_0 | free_1 | shorts | maid_0 | maid_1 | miko | yukata | suit | china | bikini_0 | bikini_1 | bikini_2 | sit | squat | kneel | jump | crossed_arms | angry | smile | cry | grin | n_lie_0 | n_lie_1 | n_stand_0 | n_stand_1 | n_stand_2 | n_sex_0 | n_sex_1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 500 | 53 | 0.946 | 0.927 | 0.851 | 0.746 | Download | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| 540 | 57 | 0.938 | 0.963 | 0.846 | 0.735 | Download | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| 680 | 72 | 0.963 | 0.959 | 0.834 | 0.735 | Download | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| 620 | 66 | 0.948 | 0.949 | 0.837 | 0.730 | Download | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| 600 | 64 | 0.944 | 0.907 | 0.839 | 0.730 | Download | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Because the automation of LoRA training always annoys some people. So for the following groups, it is not recommended to use this model and we express regret:
We uploaded the files in all steps. you can check the images, metrics and download them in the following links: