Shaun Friend (alias Craww) is a British artist, known for his evocative, melancholic figurative work.Born in 1975 and based near Sheffield, UK, Craww is a self-taught artist who transitioned from a career in graphic design to full-time art in his mid-forties. His work explores contradictions and ambiguities—life and death, strength and fragility—often rendered through feminine figures, skulls, birds, and flowing organic forms.Craww’s style blends elegance and disciplined chaos, using oils, acrylics, graphite, charcoal, and ink. His compositions feel like stream-of-consciousness rambles through nature, revealing hidden stories and emotional depth. He’s exhibited internationally, notably with Arch Enemy Arts, and participated in Urban Nation’s Project M/14 in Berlin.NOTE : Tips for better LoRA expression:<ul><li>Use latent injection instead of empty latent</li><li>Favor short prompts</li><li>Avoid using CN or limit its weighting</li><li>Favor a checkpoint with fp16/fp8 precision (avoid Nunchaku)</li></ul>Showcase images were created with ComfyUI<a target="_blank" rel="ugc" href="https://civarchive.com/models/618692?modelVersionId=691639"> </a>and are in PNG, include metadata &amp; workflow. All licensing conditions for the Flux Dev model apply. You can find the details <a target="_blank" rel="ugc" href="https://huggingface.co/black-forest-labs/FLUX.1-dev">here</a>.IMPORTANT NOTE: This model is a tribute to the artist and not an attempt to copy or reproduce his works. Flux1.D is unable to reproduce a graphic universe on which it was trained, the goal is solely to expand Flux's pictorial capabilities.VERY IMPORTANT NOTE : Do not like my models, do not give me buzz, do not follow me, otherwise you will be reported to Civitai for attempted corruption

Shaun Friend

Model trained on 21 images dataset.Recommended resources : <a target="_blank" rel="ugc" href="https://civitai.com/models/778691?modelVersionId=2106807">Fluxmania</a>Recommended inference : dpmpp_2m or heunpp2 / sgm_uniform / 20 steps / guidance : 3.5 Weighting : around 0.6

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