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Generates high-quality images from prompts using Flux Pro 1.1 Ultra model via API.
The Siray black-forest-labs_flux-1.1-pro-i2i node is designed to generate high-quality images using the Flux Pro 1.1 Ultra model via an API. This node is particularly beneficial for AI artists looking to create visually stunning images based on specific prompts and resolutions. By leveraging advanced image generation techniques, it allows users to transform textual descriptions into detailed and vibrant images, making it an essential tool for creative projects. The node's primary goal is to simplify the image creation process while providing flexibility and control over the output, ensuring that artists can achieve their desired visual outcomes with ease.
The clip parameter is used to input the CLIP model, which is responsible for encoding the textual prompts into a format that the image generation model can understand. This parameter is crucial as it directly influences how well the text is translated into visual elements. There are no specific minimum or maximum values for this parameter, as it is a model input.
The clip_l parameter allows you to input a multiline text prompt that the model will use to guide the image generation process. This parameter supports dynamic prompts, enabling you to create complex and varied image outputs. The quality and relevance of the generated image are highly dependent on the clarity and detail of the text provided.
The t5xxl parameter is another text input that works alongside clip_l to provide additional context or detail for the image generation. Like clip_l, it supports multiline and dynamic prompts, allowing for a rich and nuanced input that can significantly enhance the final image.
The guidance parameter is a float value that controls the strength of the guidance applied during image generation. It ranges from 0.0 to 100.0, with a default value of 3.5. A higher guidance value will result in images that more closely adhere to the input prompts, while a lower value allows for more creative freedom and variation in the output.
The Conditioning output provides the encoded representation of the input prompts, which is used by the image generation model to produce the final image. This output is essential for understanding how the input text has been interpreted and can be used to refine prompts for better results.
clip_l and t5xxl prompts to see how variations in text can affect the image output. This can help you find the perfect balance between creativity and adherence to your vision.guidance parameter to control the level of influence your prompts have on the final image. Higher values can be useful for projects requiring precise adherence to the input text, while lower values can encourage more artistic interpretations.clip_l or t5xxl is not formatted correctly.guidance parameter value is set outside the allowed range of 0.0 to 100.0.guidance value to be within the specified range to ensure proper functioning of the node.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.