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CyberHarem/rafayel_love_and_deepspace
rafayel_love_and_deepspace 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 Rafayel/祁煜/ホムラ/기욱 (Love and Deepspace).
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Updated Jul 19, 2024
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From the Hugging Face model README
This is the LoRA model of waifu Rafayel/祁煜/ホムラ/기욱 (Love and Deepspace).
SD1.5.stage3-p480-1200 in CyberHarem/rafayel_love_and_deepspace, which contains 165 images.rafayel_love_and_deepspace.short hair, purple hair, purple eyes, parted bangs. You can add them to the prompt when some features of waifu (e.g. hair color) are not stable.After downloading the safetensors files for the specified step, you need to use them like common LoRA.
For example, if you want to use the model from step 2160, you need to download 2160/rafayel_love_and_deepspace.safetensors as LoRA. By using this model, you can generate images for the desired characters.
We selected 5 good steps for you to choose. The best one is step 2160.
840 images (847.79 MiB) were generated for auto-testing.

Here are the preview of the recommended steps:
| Step | Epoch | CCIP | AI Corrupt | Bikini Plus | Score | Download | pattern_0_0 | pattern_0_1 | pattern_1 | pattern_2_0 | pattern_2_1 | pattern_3 | pattern_4_0 | pattern_4_1 | portrait_0 | portrait_1 | portrait_2 | full_body_0 | full_body_1 | profile_0 | profile_1 | free_0 | free_1 | short | shirt_0 | shirt_1 | uniform_0 | uniform_1 | uniform_2 | suit_0 | suit_1 | jacket_0 | jacket_1 | swim_0 | swim_1 | swim_2 | sit | squat | kneel | jump | crossed_arms | angry | smile | cry | grin | n_stand_0 | n_stand_1 | n_stand_2 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2160 | 54 | 0.913 | 0.986 | 0.834 | 0.783 | Download | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| 2400 | 60 | 0.905 | 0.988 | 0.833 | 0.772 | Download | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| 2280 | 57 | 0.890 | 0.993 | 0.836 | 0.766 | Download | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| 1920 | 48 | 0.870 | 0.990 | 0.835 | 0.743 | Download | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
| 2040 | 51 | 0.855 | 0.990 | 0.841 | 0.739 | 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: