---
license: cc-by-nc-4.0
language:
  - en
base_model:
  - MidnightRunner/MDNT_Illus
tags:
  - SDXL
  - text-to-image
  - ComfyUI
  - Automatic1111
  - Diffuser
  - educational
  - sign-language
  - mascot
pipeline_tag: text-to-image
library_name: diffusers
metrics:
  - FID
  - IS
widget:
  - text: >-
      (high-quality cartoon illustration), (vibrant colors), (smooth gradients),
      (polished details), (child-friendly design), aslbeaver, asl_signing
    parameters:
      negative_prompt: (ugly, worst quality, extra limbs, lowres, watermark)
    output:
      url: aslbeaver_e000002_01_20250415205323.png
---

# Model Card for aslbeaver

The `aslbeaver` LoRA was developed by [**midnight1111**](https://civitai.com/user/midnight1111) to generate a cartoon beaver mascot designed to demonstrate **ASL (American Sign Language)** gestures in educational game environments. The model supports expressions like "phone_on_forehead" for gesture guessing games and animated classroom scenes.

## Model Details

### Model Description

**Model Type:** Diffusion-based text-to-image LoRA model built on SDXL

**Checkpoint Compatibility:** This LoRA works best with SDXL checkpoints such as Illustrious-XL and is compatible with ComfyUI and Automatic1111.

**Style & Focus:** Designed for expressive cartoon generation focused on educational content, particularly American Sign Language (ASL) gesture storytelling.


- Model Name: aslbeaver
- Developed by: [**midnight1111**](https://civitai.com/user/midnight1111)
- Finetuned from: https://civitai.com/models/981618?modelVersionId=1405366
- Base Model: https://huggingface.co/MidnightRunner/MDNT_Illus
- Model Type: LoRA (Low-Rank Adaptation)
- License: CC BY-NC 4.0

### Model Sources

- Demo Use: https://www.playwithasl.com
- Repository: https://huggingface.co/MidnightRunner/aslbeaver

## Prompt Format

### Positive Prompt Example

aslbeaver, phone_on_forehead, gaming_mode, cheerful expression, bright classroom, tail behind

### Negative Prompt Example

lowres, worst quality, low quality, bad anatomy, bad hands, 4koma, comic, greyscale, censored, jpeg artifacts, overly saturated, overly vivid, (multiple views:1.1), (bad:1.05), fewer, extra, missing, worst quality, jpeg artifacts, bad quality, watermark, unfinished, displeasing, sepia, sketch, flat color, signature, artistic error, username, scan, (blurry, lowres, worst quality, (low quality:1.1), ugly, (bad anatomy:1.05), artist name, (patreon username:1.2), elongated torso, anime blush,

## Settings

- Sampling Methods: Euler A, DPM++ 2M Karras, DPM++ 3M SDE
- Sampling Steps: 25–30
- CFG Scale: 5.0
- Clip Skip: 1

## Uses

### Direct Use
- Generate cartoon mascot images for ASL guessing games or classroom visuals.

### Downstream Use
- Educational apps, gesture-based gameplay designs, comics, posters, signage.

## Training Details
````python
  engine: kohya
  resolution: 1024
  epochs: 13
  batch_size: 6
  repeats_per_image: 9
  bucket_enabled: true
  scheduler:
    type: cosine_with_restarts
    cycles: 3

optimizer:
  type: AdamW8Bit

learning_rate:
  unet: 0.0005
  text_encoder: 0.00005

network:
  dim: 32
  alpha: 16

precision:
  use_fp16: true
  noise_offset: 0.1
  min_snr_gamma: 5

clip_skip: 1
keep_tokens: 1
shuffle_caption: true
````

### Inference Sample (Diffusers)

````python
from diffusers import StableDiffusionPipeline
import torch

# Load base model
base_model = "path_to_your_sdxl_or_checkpoint"

pipe = StableDiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.float16)
pipe.to("cuda")

# Load the aslbeaver LoRA
pipe.load_lora("aslbeaver.safetensors", alpha=0.7)

# Define prompt
prompt = "aslbeaver, phone_on_forehead, gaming_mode, cheerful expression, bright classroom, tail behind"
negative_prompt = "(ugly, worst quality, extra limbs, lowres, watermark)"

# Run pipeline
result = pipe(prompt=prompt, negative_prompt=negative_prompt).images[0]
result.save("aslbeaver_result.png")
````


## How to Use in ComfyUI

1. **Load your base SDXL checkpoint** in a `CheckpointLoaderSimple` or similar node.
2. **Use `LoraLoader` or `LoraStack` node** to load `aslbeaver.safetensors`.
   - Set `strength_model` to around `0.8`.
   - Set `strength_clip` to `1.0` for full text embedding effect.
3. **Use a standard SDXL pipeline** with `Positive Prompt`, `Negative Prompt`, and Sampler setup as needed.
4. Render as usual.

---

## How to Use in Automatic1111 (A1111)

1. Copy `aslbeaver.safetensors` into:
   ```
   /models/Lora/
   ```
2. In the txt2img or img2img interface, enter the LoRA trigger:
   ```
   <lora:aslbeaver:0.8>
   ```
3. Combine with your prompt:
   ```
   aslbeaver, phone_on_forehead, gaming_mode, cheerful expression, bright classroom, tail behind
   ```
4. Add your negative prompt and adjust CFG, steps, etc.

---

## Evaluation

- Evaluated visually across all 13 epochs
- Best results achieved at epoch 11–13 for styling clarity

## Wildcard System: `beaver_wildcards.zip`

This LoRA comes with a complete wildcard tagging system to support flexible, randomized prompt construction. You can use this in both **A1111** and **ComfyUI** environments.

### Included Wildcard Files

- `asl_signing.txt`
- `background_scene.txt`
- `body_proportions.txt`
- `clothing.txt`
- `core_traits.txt`
- `emotion_tags.txt`
- `expression_blocks.txt`
- `expression_pose.txt`
- `gesture_tags.txt`
- `purpose_context.txt`
- `style_rendering.txt`

These files contain theme-specific wildcard entries for generating prompts in a modular, randomized fashion. For example, `gesture_tags.txt` includes ASL-style movements like "wave," "tap head," or "cover mouth."

### Example Prompt Syntax
```txt
aslbeaver, __gesture_tags__, __clothing__, __emotion_tags__, phone_on_forehead
```
This syntax will randomly sample one entry from each wildcard file referenced.

### Using in ComfyUI
- **Install:** [`ComfyUI-Wildcards`](https://github.com/ltdrdata/ComfyUI-Impact-Pack)
- **Path:** `/ComfyUI/custom_nodes/ComfyUI-Impact-Pack/custom_wildcards/beaver_wildcards/`
- Place `.txt` files there and use the `Wildcard` node to insert `__beaver_wildcards/__filename__` pattern.

### Using in AUTOMATIC1111 (A1111)
- **Install:** [`stable-diffusion-webui-wildcards`](https://github.com/AUTOMATIC1111/stable-diffusion-webui-wildcards)
- **Path:** `/extensions/stable-diffusion-webui-wildcards/wildcards/beaver_wildcards/`
- Then reference wildcards as `__beaver_wildcards/filename__` inside your prompt text field.

Wildcarding helps automate image variation for testing, prompt diversity, or simulation of batch.

## Environmental Impact

- Hardware: 1x RTX 3090 (24GB VRAM)
- Runtime: ~12 hours
- Emissions: Low

## Model Card Authors

[**midnight1111**](https://civitai.com/user/midnight1111)

## Model Card Contact

For support, inquiries, or demo collaboration:
- 📧 jon@playwithasl.com
- 🌐 [PlayWithASL.com](https://www.playwithasl.com)
- 🧠 [Midnight on Civitai](https://civitai.com/user/midnight1111)

---

This model is intended to assist in visual communication and cartoon asset creation. Always validate generated ASL signs before public or instructional use.

2025 © Midnight1111 / MidnightRunner — [MIT License or CC BY-NC 4.0]