---
license: creativeml-openrail-m
---

SD 1.5 dreambooth models fine-tuned on Anythingv3. Checkpoint files trained on (number of steps divided by 90) images scraped from boorus, with text encoder trained for around (number of images times 12) steps. Focused on ckpts before moving on to safetensors and lora. (~11/2022)

Textual inversion embedding versions can be found [here](https://huggingface.co/922-CA/gfl-ddlc-TI-tests) (trained off the same or similar datasets).

# nes2-1350 (Negev)
* Fine-tuned 12/05/2022
* Keyword: negebave
* First attempt

# ma1-850 (FMG9)
* Fine-tuned ~12/2022
* Keyword: magmgbg
* First attempt

# ca1-1260 (KAC-PDW)
* Fine-tuned 12/06/2022
* Keyword: kcpdweh
* First attempt

# p3-1800 (P90)
* Fine-tuned ~12/2022
* Keyword: hrstlleds
* Third attempt

# pn1-1350 (P90)
* Fine-tuned ~12/2022
* Keyword: hrstlleds
* Fourth attempt, may get best results with TI
  
# pr2 (Persicaria)
* Fine-tuned 12/06/2022
* Keyword: prsheheas
* First attempt, may get best results with TI

# nexl1_11142023_test
* Keyword: negev \(girls' frontline\)
* One of first attempts, works best with [this model](https://civitai.com/models/162577/kohaku-xl-beta?modelVersionId=203416)
* Tested with ComfyUI, strength at ~1.5 seems to give best results (may be underfitted)

# pxl1_11182023_test-000150
* Keyword: p90 \(girls' frontline\)
* Fine tuned for longer (cut off at ~150 epochs vs 50 epochs for previous), tested with [this model](https://civitai.com/models/162577/kohaku-xl-beta?modelVersionId=203416)
* Tested with ComfyUI, may be overfitting to undesirable features (changing dataset for next test)
  
MTBA (previews, any future loras or models trained off better bases- hopefully more better SDXL too)