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SDXL

Cat Carrier

Cat Carrier - AI Model cover image
Uploaded at
May 4, 2025, 6:33 PM
Uses
141
Reviews
No reviews
Sampling Steps

30

Sampling Method

Euler a

CFG Scale

7

Negative

worst quality, bad quality, low quality, lowres, scan artifacts, jpeg artifacts, sketch, light particles, watermark, eating,

Permissions
  • Allow image generation & sharing
  • Allow users to download this model
  • Allow commercial use of generated images

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Description

Cat Carrier is anime style IllustriousXL model, Not NoobAI XL.VAE is baked in.Recommended SettingSteps: 25-30CFG scale: 5-7Sampler: Euler a, DPM++ 2M KarrasUse ADetailer as neededPositive Promptmasterpiece, best quality, absurdres, very aesthetic, Negative Promptworst quality, bad quality, low quality, lowres, scan artifacts, jpeg artifacts, sketch, light particles, watermark,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-4Merging 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-4Merging 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-4Merging 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-4Merging 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)LicenseThis model adheres to the Fair AI Public License 1.0-SD and is available for non-commercial use only. Commercial use is prohibited.

Comments

Artwork made by Cat Carrier