Model Card for aslbeaver

The aslbeaver LoRA was developed by 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
• 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

  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)

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.

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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.

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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

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
• 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
• 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

Model Card Contact

For support, inquiries, or demo collaboration:

• 📧 [email protected]
• 🌐 PlayWithASL.com
• 🧠 Midnight on Civitai

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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]