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CuteCartoonRedmond V2: SDXL LoRA for Cute Cartoon Characters

Generate funny cute cartoon character illustrations with CuteCartoonRedmond V2, a free SDXL 1.0 LoRA trained on a large curated dataset.

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On this page

  1. What Is CuteCartoonRedmond V2?
  2. Base Model and Training Details
  3. How to Use CuteCartoonRedmond V2
  4. Try It Online First
  5. Common Errors and Fixes
  6. FAQ
  7. Sources

CuteCartoonRedmond V2: Generate Cute Cartoon Characters with SDXL

TL;DR:

What Is CuteCartoonRedmond V2?

CuteCartoonRedmond V2 is a LoRA (Low-Rank Adaptation) model for Stable Diffusion XL 1.0. LoRAs are lightweight fine-tuned adapters that you merge onto a base diffusion model at inference time — they cost a fraction of the VRAM of a full fine-tune and apply in seconds.

This particular LoRA was trained to produce funny, cute illustrations of characters in a cartoon aesthetic. It is one of several LoRAs published by the creator, ArtificialGuyBR, who maintains an interactive demo space where you can test generation quality before downloading.

Base Model and Training Details

Detail | Value

|---|---

Base model | stabilityai/stable-diffusion-xl-base-1.0 Framework | diffusers Instance prompt | CuteCartoonAF, Cute Cartoon License | CreativeML Open RAIL-M Downloads (HF) | 96 Likes (HF) | 9 The model was fine-tuned on a large dataset of cartoon-style reference images. The instance prompt tags — CuteCartoonAF and Cute Cartoon — are the trained words that steer the model toward the intended aesthetic. Without these triggers, the LoRA will apply weakly and the output may not match the intended style.

How to Use CuteCartoonRedmond V2

Trigger Words

Always include the trained trigger words in your prompt:

CuteCartoonAF, Cute Cartoon, a cute cartoon character holding a balloon

Both CuteCartoonAF and Cute Cartoon act as anchors that tell the model which style to produce. You can combine them with your own subject and scene description.

Setting | Recommendation

|---|---

Base model | SDXL 1.0 (stabilityai/stable-diffusion-xl-base-1.0) LoRA strength | 0.6 – 1.0 Inference steps | 20 – 30 Sampler | DPM++ 2M Karras or Euler a Resolution | 1024x1024 (native SDXL)

ComfyUI

  1. Load an SDXL checkpoint or base model node.
  2. Add a LoRALoader node and point it at CuteCartoonRedmond-V2.
  3. Set the strength between 0.6 and 1.0 depending on how strongly you want the cartoon effect.
  4. Connect the model pipe to your sampling and VAE nodes.

AUTOMATIC1111 WebUI

  1. Select stabilityai/stable-diffusion-xl-base-1.0 as your base model.
  2. In the LoRAs section, add CuteCartoonRedmond-V2 and set the weight.
  3. Enter your prompt using the trigger words above.

Diffusers (Python)

import torch
from diffusers import StableDiffusionXLPipeline, PEFTAdapter

pipe = StableDiffusionXLPipeline.from_pretrained(
    "stabilityai/stable-diffusion-xl-base-1.0",
    torch_dtype=torch.float16,
)
pipe.load_lora_weights(
    "artificialguybr/CuteCartoonRedmond-V2",
    weight_name="cute_cartoon_redmond_v2",
    adapter_name="cutecartoon",
)
pipe.set_adapters("cutecartoon", weights=[0.8])
pipe = pipe.to("cuda")

prompt = "CuteCartoonAF, Cute Cartoon, a cute cartoon panda riding a scooter"
image = pipe(prompt).images[0]
image.save("output.png")

Try It Online First

The creator hosts a demo space where you can test this LoRA and several others without installing anything locally:

CuteCartoonRedmond on Hugging Face Spaces

This is useful for dialing in the right prompt and strength before committing to local generation.

Common Errors and Fixes

Error | Cause | Fix | Source

|---|---|---|---

Output looks like normal photos, no cartoon style | Trigger words missing from prompt | Add both CuteCartoonAF and Cute Cartoon to the prompt | Model card Style is too weak or barely applied | LoRA strength too low | Increase strength to 0.8–1.0 | Model card Color banding or low-quality output | Too few inference steps | Use 20–30 steps with DPM++ 2M Karras | Author recommendation RuntimeError: CUDA out of memory | SDXL + LoRA exceeds GPU VRAM | Reduce resolution or enable attention slicing | Community best practice

FAQ

Is CuteCartoonRedmond V2 free to use?

Yes. It is published on Hugging Face under the CreativeML Open RAIL-M license, which permits commercial and non-commercial use with standard safety and usage restrictions.

What GPU do I need?

Because it runs on top of SDXL 1.0, a GPU with at least 8 GB VRAM is recommended. With lower VRAM, you can use CPU offloading or attention slicing.

Can I use it for commercial projects?

Yes, the CreativeML Open RAIL-M license permits commercial use, provided you comply with its safety and usage clauses.

Is this LoRA compatible with non-SDXL models?

No. It is trained against SDXL 1.0 checkpoints and should be paired with stabilityai/stable-diffusion-xl-base-1.0 or an SDXL-based variant.

Sources