Models created by Eppinette, originally uploaded to HuggingFace
To increase the strength put "cyberware style" in () brackets To decrease the strength put "cyberware style" in [] brackets
Cyberware Conceptual Model is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user eppinette. Derived from the powerful Stable Diffusion (SD 1.5) model, Cyberware Conceptual Model has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that Cyberware Conceptual Model is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, cyborg, science fiction.
With a rating of 4 and over 2 ratings, Cyberware Conceptual Model is a popular choice among users for generating high-quality images from text prompts.
Yes! You can download the latest version of Cyberware Conceptual Model from here.
To use Cyberware Conceptual Model , download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like Cyberware Conceptual Model , check out our crash course in AI image generation.
Base model is AnythingV3
Use m_cyberware style for training activation, used best in conjunction with "mechanical {arm/leg/body/parts}"
*not compatible with bad_prompt, many negative embeddings make the mechanical anatomy created by this model harder or impossible to generate, consider tailoring your negative prompt to compensate
Go ahead and upload yours!
Your query returned no results – please try removing some filters or trying a different term.