Other · Text-to-Image
NebulRedmond
Stylized text-to-image checkpoint for SDXL-based pipelines with simplified usage notes and moderate prompt guidance.
About this model
NebulRedmond is a text-to-image checkpoint published by ArtificialGuyBR under an OpenRail license. It is tagged as compatible with the diffusers library through the Stable Diffusion XL Pipeline, and is distributed in safetensors format. The model targets stylized image generation and is intended to produce consistent results across common creative prompts.
The model card recommends starting with simple, direct prompts and adding style details gradually. Generation is suggested at 1024x1024 resolution for SDXL-based pipelines, with moderate CFG scale and step counts that can be tuned per style target. Because no sample images are bundled on the repository, the author advises generating multiple seeds to evaluate visual consistency.
As a checkpoint rather than a fine-tuned LoRA, NebulRedmond is loaded as a base-weight model in Diffusers, AUTOMATIC1111, or ComfyUI via a Stable Diffusion XL pipeline. Recommended settings are conservative: users are encouraged to begin with default CFG and step values before introducing higher guidance or additional samplers.
The model has modest early adoption metrics at time of writing: around 72 downloads and 10 likes on Hugging Face. It is marked endpoints_compatible, indicating it can be served through managed inference endpoints with the Stable Diffusion XL pipeline. Redmond.AI is credited for GPU support during experimentation.
Example prompt: masterpiece, high quality, detailed composition, cinematic lighting, clean background.
Project signals
- 116 Hugging Face downloads
- 10 Hugging Face likes
Topics
diffusers · safetensors · text-to-image · endpoints_compatible · diffusers:stablediffusionxlpipeline · stable-diffusion