PixelArtRedmond: A Pixel Art LoRA for Stable Diffusion

• PixelArtRedmond is a Stable Diffusion LoRA that pushes generations toward a crisp pixel-art look, with "Pixel Art" and "PixArFK" as its trigger words.
• The model card describes it as fine-tuned on a large dataset, and it is the first in a planned series of pixel-art LoRAs by ArtificialGuyBR.
• It was trained with GPU time sponsored by Redmond.AI, and is released under the CreativeML OpenRAIL-M license.

What PixelArtRedmond does

PixelArtRedmond is a LoRA (low-rank adaptation) checkpoint that biases a base Stable Diffusion model toward pixel-art output. The creator's intent is a "pixel-perfect" look: distinct blocky pixels, limited color steps, and retro game-style rendering rather than soft painterly output.

The HuggingFace model card places the adapter on Stable Diffusion XL 1.0 (stabilityai/stable-diffusion-xl-base-1.0), while the Civitai page for the "1.5V" variant describes a SD 1.5 base using the Liberte model. Both pages were published by the same author, so check which base model your downloaded file targets before use.

This is the first release in an announced series of pixel-art LoRAs, focused specifically on the pixel-art aesthetic rather than a broader illustration style.

Trigger words and usage

The model responds to the instance prompt "Pixel Art, PixArFK". Add both terms to your positive prompt — the card's widget uses exactly this prompt as its sample.

For the most pixel-perfect results, the author recommends the Pixel Art extension (for example the pixel-art upscaling/blending extension used in A1111/ComfyUI tooling), then downscaling the output by 4 or 8. The workflow is: generate at full resolution with the LoRA active, apply the Pixel Art extension treatment, and downscale to get the chunky, intentional pixel grid.

Recommended settings

• Add Pixel Art, PixArFK to the positive prompt.
• Apply a Pixel Art extension/plugin for best results.
• Downscale the final image by a factor of 4 or 8.
• The author reports a "high capacity to generate Coloring Book Images" alongside pixel art.

Toggle the LoRA weight to taste — LoRA-style blending lets you dial between the base model's natural output and the full pixel-art look. Exact weight values are not published in the model card, so start low and increase until the pixel character reads clearly.

How to run it

Diffusers (Python): load the LoRA with diffusers by pointing load_lora_weights at the checkpoint, then generate with a prompt starting Pixel Art, PixArFK, ....

A1111 / ComfyUI: drop the LoRA file into the loras folder (A1111) or load it with a LoRA loader node (ComfyUI), set the trigger words in the prompt, and generate.

The author maintains a free demo Space on HuggingFace where all their LoRAs can be tested without local GPU time — useful for sanity-checking the trigger prompt before setting up locally. Training time and VRAM requirements are not published; the fine-tuning was done on a large dataset using GPU time from Redmond.AI.

Examples from the model card and gallery

The gallery samples show the intended output style: blocky, low-detail rendering with visible pixel steps, suitable for retro game art, avatar icons, and game-asset drafts.

Common errors and fixes

Error | Cause | Fix | Source

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

Output looks like normal illustration, not pixel art | Trigger words missing | Add Pixel Art, PixArFK to the positive prompt | Model card Pixels look too soft / anti-aliased | No downscaling step | Apply a Pixel Art extension, then downscale by 4 or 8 | Civitai page Wrong style entirely | Base model mismatch (SDXL vs SD 1.5 variant) | Match the LoRA file to your base checkpoint — SDXL or SD 1.5/Liberte | HF card + Civitai page LoRA has no effect | Weight too low | Increase LoRA strength until the pixel character reads clearly | General LoRA guidance

FAQ

What are the trigger words? Pixel Art, PixArFK — the model card's widget uses exactly this prompt.

Which base model does it need? The HF card specifies Stable Diffusion XL 1.0; the Civitai "1.5V" release is described as SD 1.5 on the Liberte model. Match the file to your base.

Do I need the Pixel Art extension? Not strictly, but the author recommends it for better, more pixel-perfect images, with a 4x or 8x downscale afterward.

Is it free to use? The model is released under the CreativeML OpenRAIL-M license, and the author also offers a free demo Space on HuggingFace.

Sources

• HuggingFace model card — artificialguybr/PixelArtRedmond: trigger prompt, base model, license, training sponsor.
• Civitai — PixelArtRedmond 1.5V: SD 1.5/Liberte variant details, Pixel Art extension tip, download stats (~1.8K downloads, 148 likes).
• ArtificialGuyBR portfolio: author's model and project hub.