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v1.1
Illuminati Diffusion v1.1

Illuminati Diffusion v1.1

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#general purpose
#Base Model
#fine-tune
#artistic
#Realistis
#general purpose
#fine-tune
#artistic
#Realistis

Welcome to Illuminati Diffusion v1.1! This state-of-the-art text-to-image diffusion model is fine-tuned to produce high-quality, aesthetically pleasing synthetic images. Based on Stable Diffusion 2.1, it offers enhanced depth, contrast, and color, thanks to extensive training on a diverse dataset.

Key Features and Updates:

  1. Model Version: Built on the robust Stable Diffusion 2.1 framework, ensuring top-notch performance and compatibility.

  2. ControlNet Support: Enhanced functionality with ControlNet integration. Get the details and instructions at ControlNet SD2.1 on Hugging Face.

  3. Essential Downloads: To fully utilize the model, download these critical negative embeds along with the main file, and add them to your AUTOMATIC1111 webui embeddings folder:

  4. Optimal Image Settings: For best results, use settings between 768-1024 / 1152 for some seeds and prompts. Occasionally, 1280x768 or 768x1280 may also yield excellent outcomes.

  5. User Guidance: Check out example images for inspiration. This fully finetuned model doesn't require specific trigger words. Feel free to experiment with various prompts and settings.

  6. License Flexibility: Under the CreativeML OpenRAIL-M license, there are no restrictions on the use of the Illuminati Diffusion v1.1 model. Feel free to use it for both personal and commercial projects.

  7. Usage Freedom: Host or use the model on any platform, commercial or non-commercial. The model is designed for wide accessibility and versatility.

  8. Commercial Use: Outputs generated from the model can be freely used for commercial purposes, regardless of team size or project scope.

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Berbicara dengan model
Pengumuman
2023-03-20
Memposting model
2023-11-19
Perbarui informasi model
Detail model
Jenis
Checkpoint
Waktu publikasi
2023-03-20
Model Dasar
SD 2.1 768
Perkenalan versi

V1.1 Changes -
- Moved to Civitai
- Continued training with offset noise
- New negative embed

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Model Source: civitai

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