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@@ -190,9 +190,9 @@ Generate a detailed image description based on the following prompt, adhering to
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}
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```
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2. Structured Prompt: (The JSON representation of the input prompt, as shown in the LLM Prompt)
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2. Structured Prompt: (The JSON representation of the input prompt, as shown in the 2nd half of the LLM Prompt)
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3. Custom Schema: (The schema used, as shown at the beginning of the LLM Prompt)
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3. Custom / Default Schema: (The schema used, as shown at the beginning of the LLM Prompt)
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## Notes
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- The `structured_prompt` output is an intermediate representation, not the final detailed JSON.
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@@ -201,7 +201,7 @@ Generate a detailed image description based on the following prompt, adhering to
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- The custom schema defines the structure for both the intermediate prompt and the final LLM output.
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- Adjust the complexity parameter to control the level of detail in the generated prompts.
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## Token Counter Usage
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## Token Counter Node Usage
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The Token Counter node is available in the "utils" category:
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1. Connect the following inputs:
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@@ -214,4 +214,8 @@ The Token Counter node is available in the "utils" category:
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- `clip_token_count`: Number of tokens using CLIP tokenizer (if enabled)
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## Support
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For issues, feature requests, or contributions, please open an issue or pull request in the GitHub repository.
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For issues, feature requests, or contributions, please open an issue or pull request in the GitHub repository.
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## Acknowledgements
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This node builds upon the concept of controllable image generation via JSON prompting, specifically in the Flux1 family of models.
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Thanks to the Image Diffusion, AI Twitter, ComfyUI & Banodoco communities for their support and inspiration.
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