<span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">This workflow requires my <span style="background-color:rgb(26, 27, 30);color:rgb(64, 192, 87);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">Comfyui-lmstudio-prompt-enhancer<span style="background-color:rgb(26, 27, 30);color:rgb(141, 141, 143);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px"> custom node which is installable via Comfy Manager.🛈 IMPORTANT!!! You will need to search for, download, and load the model ornith-1.0-35b in LM studio. You will also need to start the API server and generate an API Key. <a target="_blank" rel="ugc" href="https://github.com/AllenCraigBarnard/comfyui-lmstudio-prompt-enhancer#lm-studio-setup">Learn how to configure LM Studio here.</a><h3 id="notes-for-using-ornith-1.0-35b">Notes for using ornith-1.0-35b</h3><ul><li>This model this model is fast I got on average 52 tokens per second on my AMD Strix Halo RyzenAI Workstation. -generates detailed prompts, with minimal rambling. The generated prompts produces images with expert composition and color grading.</li><li>I set the max tokens to 3500, this higher value is to accommodate this model's deep reasoning.</li><li>If the image looks flat, check the logs in LM Studio, the last log entry will contain a JSON path x.choices[0].message.content if the content field is empty that means the LLM ran out of reasoning tokens, this can be resolved by increasing max_tokens.</li><li>this model tends to start the enhanced positive prompt's string with newline characters "\n" for now it does not appear to cause any problems.</li></ul>

Files with SHA256: 0c9698b0d1092894d30f3183c56cba20a7b57eb32fc44d4638f9a4891319b883