Type | |
Stats | 985 1 |
Reviews | (141) |
Published | Oct 17, 2024 |
Base Model | |
Hash | AutoV2 1D5115A8B1 |
Cat Carrier is anime style IllustriousXL model, Not NoobAI XL.
VAE is baked in.
Recommended Setting
Steps: 25-30
CFG scale: 5-7
Sampler: Euler a, DPM++ 2M Karras
Use ADetailer as needed
Positive Prompt
masterpiece, best quality, absurdres, very aesthetic,
Negative Prompt
worst quality, bad quality, low quality, lowres, scan artifacts, jpeg artifacts, sketch, light particles, watermark,
Merge recipes (v5.1)
Merging plumMix v1.0 to Cat Carrier v5.0 by "SLERP", alpha=0.3 (Checkpoint A)
Merging LunarPeachMix v2.1 to Checkpoint A by "SLERP", alpha=0.5 (Cat Carrier v5.1)
Merge recipes (v5)
Merging the difference between CyberRealistic XL v5 and stable-diffusion-xl-base-1.0 to Illustrious-XL-v2.0-stable by "Add Difference" (Checkpoint A)
Replacing the CLIP of Checkpoint A by Illustrious-XL-v2.0-stable (Checkpoint B)
Finetuning Illustrious-XL-v2.0-stable with anime style dataset by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4 and merging the OFT model to Checkpoint B, ratio = 1.0 (Checkpoint C)
Merge Checkpoint C to Checkpoint B by "Weighted Sum", alpha=0.3 (Checkpoint D)
Merge songMix v2.2 to Checkpoint D by "Weighted Sum" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint E)
Merge LunarPeachMix v2.1 to Checkpoint E by "Weighted Sum", alpha=0.3 (Checkpoint F)
Merging style LoRA to Checkpoint F (Cat Carrier v5)
Merge recipes (v4)
Finetuning Illustrious XL v1.0 with anime style dataset by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4
Merging the OFT model to Raehoshi illust XL v4.0, ratio = 1.0 (Checkpoint A)
Merge Checkpoint A to Raehoshi illust XL v4.0 by "Add Cosine B", alpha=0.25 (Checkpoint B)
Merging the difference between Cat Carrier v3.0 and Illustrious XL v1.1 to Checkpoint B by "Train Difference" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint C)
Merging style LoRAs to Checkpoint C (Cat Carrier v4)
Merge recipes (v3)
Finetuning Illustrious XL v1.0 with anime style dataset by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4
Merging the OFT model to Illustrious XL 1.0, ratio = 1.0 (Checkpoint A)
Merge Checkpoint A to Illustrious XL v1.0 by "Weighted Sum", alpha=0.75 (Checkpoint B)
Merging the difference between ExilluSPO Anime v1 and Illustrious XL v0.1 to Checkpoint B by "Train Difference", alpha = 0.2 (Checkpoint C)
Merging the difference between Catloaf and ponyDiffusionV6XL to Checkpoint C by "Train Difference" with block (0,0,0,0,0,0,0,0,0,0,0,0.4,0.7,0.7,0.7,0,0,0,0,0) (Checkpoint D)
Merge style LoRA to Checkpoint D (Cat Carrier v3)
Merge recipes (v2)
Finetuning Illustrious XL v0.1 with anime style dataset(0.5k) by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4
Merging the OFT model to Raehoshi illust XL v1.0 spo edition, ratio = 1.0 (Checkpoint A)
Merging ExilluSPO Anime v1 to Checkpoint A, ratio = 0.2 (Checkpoint B)
Merging the difference between Catloaf and ponyDiffusionV6XL to Checkpoint B, Checkpoint B + (catloaf - ponyDiffusionV6XL) x alpha (0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.4,0.7,0.7,0.7,0.0,0.0,0.0,0.0,0.0,0), mode = Add difference, calcmode = trainDifference (Cat Carrier v2)
Merge recipes (v1)
Finetuning Illustrious XL v0.1 with anime style dataset(0.5k) by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4
Merging the OFT model to Raehoshi illust XL, ratio = 1.0 (Checkpoint A)
Merging ExilluSPO Anime v1 to Checkpoint A, ratio = 0.2 (Checkpoint B)
Merging LoRA which is the difference between Catloaf and ponyDiffusionV6XL to Checkpoint B, ratio = 1.0 and lbw = [0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0] (Cat Carrier v1)
License
This model adheres to the Fair AI Public License 1.0-SD and is available for non-commercial use only. Commercial use is prohibited.