Cat Tower (NoobAI XL checkpoint)

CHECKPOINT
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Updated:

creator: nuko_masshigura

Cat Tower is anime style NoobAI XL checkpoint.

VAE is baked in.

v-prediction versions are experimental models.

You need to use the webui that support v-prediction.

  • ComfyUI (latest commit, No need to install config file)

  • reForge (latest commit, No need to install config file)

  • Automatic1111 (dev branch, latest commit. And place the config file in the same folder as the checkpoint. If you change the name of the checkpoint, rename the basename without extension of config file to the same as the changed checkpoint name.)

Recommended Setting

  • Steps: 25-30

  • CFG scale: 5-7

  • Sampler (vPred v1.1, v1.2, v1.3, v1.4): Euler, Euler a

  • Sampler (vPred v1): Euler

  • Sampler (Epsilon-pred): DPM++ 2M Karras, Euler a

  • Scheduler (vPred v1.1, v1.2, v1.3, v1.4) : Normal, Simple ("Automatic" produce noisy images.)

  • Use ADetailer as needed

Positive Prompt

masterpiece, best quality

Negative Prompt

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

Merge recipes (vPred v1.4)

  1. Merging and by . (Checkpoint A)

  2. Finetuning NoobAI-V-Pred-0.75S-Version with anime style dataset(0.5k) by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4, 15000 steps

  3. Merging the OFT model to Checkpoint A, ratio = 1.0 (Checkpoint B)

  4. Merging Checkpoint B and by "Weighted Sum" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.4,0.4,0.4,0.0,0,0,0,0) (Checkpoint C)

  5. Merging Checkpoint C and by "Weighted Sum" with block (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.0,0,0,0,0) (Checkpoint D)

  6. Merging the difference between and to Checkpoint D by "Train Difference" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint E)

  7. Merging the difference between and to Checkpoint E by "Train Difference" with block (0,0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint F)

  8. Merging NoobAI-V-Pred-0.75S-Version and Checkpoint F by "Weighted Sum" with block (0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1) (Cat Tower vPred v1.4)

Merge recipes (Epsilon-pred v1.1)

  1. Merging and and replace CLIP by NoobAI-XL Epsilon-pred 1.1-Version. It's a same method of . (Checkpoint A)

  2. Merging the difference between and to Checkpoint A by "trainDifference" with blocks (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.2,0.2,0.4,0.6,0.6,0.6,0.2,0.2,0.2,0.2,0.2) (Checkpoint B)

  3. Merging the difference between and to Checkpoint B by "trainDifference" with blocks (0,0,0,0,0,0,0,0,0.2,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint C)

  4. Merging style LoRA to Checkpoint C (Cat Tower Epsilon-pred v1.1)

Merge recipes (vPred v1.3)

  1. Merging and by . (Checkpoint A)

  2. Finetuning NoobAI-V-Pred-0.65S-Version with anime style dataset(0.5k) by OFT method, dim = 8, alpha = 1e-3, learning rate = 1e-4, 15000 steps

  3. Merging the OFT model to Checkpoint A, ratio = 1.0 (Checkpoint B)

  4. Merging Checkpoint B and by "Weighted Sum" with block (0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.5,0.5,0.5,0.5,0.0,0,0,0,0) (Checkpoint C)

  5. Merging the difference between and to Checkpoint C by "Train Difference" with block (0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint D)

  6. Merging the difference between and to Checkpoint D by "Train Difference" with block (0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint E)

  7. Merging the difference between ExilluSPO Anime v1 and to Checkpoint D by "Train Difference" with block (0,0,0,0,0,0,0,0,0,0,0.15,0.15,0.15,0.15,0,0,0,0,0) (Checkpoint F)

  8. Merging NoobAI-V-Pred-0.65S-Version + (Checkpoint F - NoobAI-V-Pred-0.65S-Version) (Cat Tower vPred v1.2)

Merge recipes (vPred v1.2)

  1. Merging and and replace CLIP by NoobAI-V-Pred-0.65S-Version. It's a same method of . (Checkpoint A)

  2. Merging and by . (Checkpoint B)

  3. Merging Checkpoint A (1 - 0.5) + Checkpoint B 0.5 (Checkpoint C)

  4. Merging the difference between and to Checkpoint C by "Train Difference" with block (0,0,0,0,0,0,0,0,0.25,0,0,0.25,0.45,0.45,0.45,0,0,0,0,0) (Checkpoint D)

  5. Merging the difference between and to Checkpoint D by "Train Difference" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint E)

  6. Merging style LoRA to Checkpoint E (Checkpoint F)

  7. Merging NoobAI-V-Pred-0.65S-Version + (Checkpoint F - NoobAI-V-Pred-0.65S-Version) with adjust (0,0,0,0,0,2.34,0,-0.95). (Cat Tower vPred v1.2)

Merge recipes (vPred v1.1)

  1. Merging and and replace CLIP by NoobAI-V-Pred-0.6-Version. It's a same method of . (Checkpoint A)

  2. Merging the difference between and to Checkpoint A by "Train Difference" with block (0,0,0,0,0,0,0,0,0.3,0,0,0.3,0.5,0.5,0.5,0,0,0,0,0) (Checkpoint B)

  3. Merging the difference between and to Checkpoint B by "Train Difference" with block (0,0,0,0,0,0,0,0,0,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0) (Checkpoint C)

  4. Merging style LoRA to Checkpoint C (Checkpoint D)

  5. Merging NoobAI-V-Pred-0.6-Version and Checkpoint D by the following calc, NoobAI-V-Pred-0.6-Version + (Checkpoint D - NoobAI-V-Pred-0.6-Version). (Cat Tower vPred v1.1)

Merge recipes (vPred v1)

  1. Merging and and replace CLIP by NoobAI-V-Pred-0.5-Version. It's a same method of . (Checkpoint A)

  2. Merging the subtract ( - NoobAI-V-Pred-0.5-Version) to Checkpoint A by "Add Difference" and "Clamp" (Checkpoint B)

  3. Merging the difference between and to Checkpoint B by "Train Difference" with block (0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.2,0.1,0.1,0.2,0.3,0.3,0.3,0.1,0.1,0.1,0.1,0.1) (Checkpoint C)

  4. Merging NoobAI-V-Pred-0.5-Version and Checkpoint C by the following calc, NoobAI-V-Pred-0.5-Version + (Checkpoint C - NoobAI-V-Pred-0.5-Version). (Cat Tower vPred v1)

Merge recipes (Epsilon-pred v1)

  1. Merging the difference between and to , NoobaiCyberFix + (Cat Carrier - Raehoshi illust XL) x alpha (0,0.2,0.2,0.2,0.2,0.2,0.2,0.2,0.4,0.2,0.2,0.4,0.6,0.6,0.6,0.2,0.2,0.2,0.2,0.2), mode = Add difference, calcmode = trainDifference (Checkpoint A)

  2. Merging the difference between and to Checkpoint A, Checkpoint A + (copycat-noob - NoobAI-XL) x alpha (0,0,0,0,0,0,0,0,0.2,0,0,0.2,0.2,0.2,0.2,0,0,0,0,0), mode = Add difference, calcmode = trainDifference (Checkpoint B)

  3. Merging style LoRA to Checkpoint B (Cat Tower v1)

License

This model adheres to the and is available for non-commercial use only. Commercial use is prohibited.

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Project Permissions

Model reprinted from : https://civitai.com/models/920709

Reprinted models are for communication and learning purposes only, not for commercial use. Original authors can contact us to transfer the models through our Discord channel --- #claim-models.

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