import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("artificialguybr/Invictus-Redmond", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Invictus Redmond
Invictus Redmond is a refreshed model card with practical usage notes and cleaner documentation. It is intended for consistent image generation results across common creative prompts.
Model Summary
Repository:
artificialguybr/Invictus-RedmondType: Model
Primary use case: Stylized text-to-image generation
Recommended Usage
Use simple, direct prompts first, then add style details gradually.
- Start with 1024x1024 for SDXL-based models when applicable.
- Keep CFG/steps moderate first, then tune based on your style target.
- Generate multiple seeds for best visual consistency.
Example Prompt
masterpiece, high quality, detailed composition, cinematic lighting, clean background
Notes
- This card was standardized to match the documentation style of your stronger model cards.
- If you want, we can add workflow-specific examples (A1111, ComfyUI, Diffusers) in the next pass.
🌐 Website
You can find more models, projects, and updates on:
🚀 Prompt Hub
Need high-quality prompts for image models and LLMs? Explore findgoodprompt.com.
💖 Support My Work
If this model helps you, please consider supporting open-source development:
- Patreon: Support on Patreon
- Ko-fi: Buy me a Ko-fi
- Buy Me a Coffee: Buy me a Coffee
🛰️ GPU Partner
Special thanks to Redmond.AI for GPU support across multiple experiments.
Follow me on X/Twitter for new releases: https://twitter.com/artificialguybr/
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