description: <h1 id="heading-14"><strong>Weekly MidJourney Style Experiment: Last 500 Images</strong></h1><p><strong>Update (11/02/23) </strong>: adding WEEK 3 F<strong>FUsion (ALL IN) </strong>LoRA of <strong> Hot, Rising, and New </strong><br /><br /><span style="color:rgb(209, 213, 219)">🗓 </span><strong>Current Week's Exploration (10.31.23):</strong><span style="color:rgb(209, 213, 219)"> This week LoRAs are fine-tuned for the</span></p><p><strong>🏆</strong><span style="color:rgb(209, 213, 219)">'</span>Style Capture &amp; Fusion Showdown<span style="color:rgb(209, 213, 219)">' (</span><strong><span style="color:rgb(209, 213, 219)">rejected</span></strong><span style="color:rgb(209, 213, 219)"> entry)</span></p><p></p><p><strong>Week 3</strong> Styles of<strong> Hot, Rising, and New </strong>MJ categories: <strong>10.31.23</strong><br /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1696d989-6594-4778-a9f4-20bfb50bf689/width=525/1696d989-6594-4778-a9f4-20bfb50bf689.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/d5c7bc3e-dece-4859-a0bf-8f2f78ed8983/width=525/d5c7bc3e-dece-4859-a0bf-8f2f78ed8983.jpeg" /></p><p></p><p></p><p><span style="color:rgb(209, 213, 219)">🔥 </span><strong>Previous Week’s LoRAs (10.23.23):</strong><span style="color:rgb(209, 213, 219)"> </span><br /><span style="color:rgb(209, 213, 219)"> last week styles from the 'Hot', 'Rising', and 'New' category</span></p><p><img src="http://127.0.0.1:7861/file=R:/autoKOR/stable-diffusion-webui/outputs/grids-images/2023-10-23/xyz_grid-0027-2700498413.png" /><br /><img src="http://127.0.0.1:7861/file=R:/autoKOR/stable-diffusion-webui/outputs/grids-images/2023-10-23/xyz_grid-0023-1421326053.png" /><br /><img src="http://127.0.0.1:7861/file=R:/autoKOR/stable-diffusion-webui/outputs/grids-images/2023-10-23/xyz_grid-0026-1419367754.png" /></p><p>A recent experiment conducted using the last 500 images from the 'MidJourney' categories: <strong>Hot, Rising, and New</strong>. <br /></p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/753dc54d-4635-4ef5-be2a-4061ac4e0c95/width=525/753dc54d-4635-4ef5-be2a-4061ac4e0c95.jpeg" /></p><p><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1187ff44-c9b5-4fa6-af25-8d51b745006a/width=525/1187ff44-c9b5-4fa6-af25-8d51b745006a.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/967ba7b3-d75c-4ef3-9351-dc85f4d112e1/width=525/967ba7b3-d75c-4ef3-9351-dc85f4d112e1.jpeg" /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/65c12d48-f5e0-4582-982d-e91747c784fb/width=525/65c12d48-f5e0-4582-982d-e91747c784fb.jpeg" /></p><p><strong>Data Acquisition and Integrity</strong>:</p><ul><li><p>All images were sourced responsibly, with no use of unofficial tools for acquisition.</p></li><li><p>The images were obtained using the sanctioned Corporate/Enterprise account.</p></li></ul><p><strong>Technical Overview</strong>:</p><ul><li><p>The images were processed using the <code>ViT-L-14/openai</code> model (quick sloppy run). For testing, the <code>prodigy</code> tool was employed.</p></li><li><p>It's important to note that the current quality of results does not align with our typical production standards. However, for those interested in further details, a training set from the official Civitai trainer is available.</p></li><li><p>The experiment utilized the capabilities of the Civitai trainer(default out of the box configuration)</p><p></p></li></ul><p><br />09/26/2023 03:48:12 AM</p><p><strong>SUBMITTED</strong></p><p>09/26/2023 03:48:40 AM</p><p><strong>PROCESSING</strong></p><p>09/26/2023 05:21:46 AM</p><p><strong>READY</strong><br /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1ccb7449-4d6e-4387-ac9c-525921609989/width=525/1ccb7449-4d6e-4387-ac9c-525921609989.jpeg" /></p><ul><li><p>Lora FA text encoder, and the Kohya tools, all operating on the H100 80GB.</p></li></ul><p>We appreciate your continued interest and support. Further updates will be provided as the experiment progresses.</p><p>Each one took 20-30min <br /><br /><img src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/732ba7da-567d-47ae-aa7b-bd6369437230/width=525/732ba7da-567d-47ae-aa7b-bd6369437230.jpeg" /></p><hr /><p>📂 <strong>MidJ_Last_500_-_Experiment.safetensors</strong></p><ul><li><p>📅 Date: <code>2023-09-26T02:20:38</code></p></li><li><p>🏷️ Title: <code>MidJ_Last_500_-_Experiment</code></p></li><li><p>🖼️ Resolution: <code>1024x1024</code></p></li><li><p>🧪 Architecture: <code>stable-diffusion-xl-v1-base/lora</code></p></li><li><p>🌐 Network Dimensions:</p><ul><li><p>Dim/Rank: <code>32.0</code></p></li><li><p>Alpha: <code>16.0</code></p></li></ul></li><li><p>🔌 Module: <code>networks.lora</code></p></li><li><p>🔧 Configurations:</p><ul><li><p>Learning Rate: <code>0.0005</code></p></li><li><p>UNet LR: <code>0.0005</code></p></li><li><p>TE LR: <code>5e-05</code></p></li><li><p>Optimizer: <code>bitsandbytes.optim.adamw.AdamW8bit(weight_decay=0.1)</code></p></li><li><p>Scheduler: <code>cosine_with_restarts</code></p></li><li><p>Warmup Steps: <code>0</code></p></li><li><p>Epochs: <code>10</code></p></li><li><p>Batches per Epoch: <code>128</code></p></li><li><p>Gradient Accumulation Steps: <code>1</code></p></li><li><p>Train Images: <code>500</code></p></li><li><p>Regularization Images: <code>0</code></p></li><li><p>Multires Noise Iterations: <code>6.0</code></p></li><li><p>Multires Noise Discount: <code>0.3</code></p></li><li><p>Min SNR Gamma: <code>5.0</code></p></li><li><p>Zero Terminal SNR: <code>True</code></p></li><li><p>Max Gradient Norm: <code>1.0</code></p></li><li><p>Clip Skip: <code>1</code></p></li><li><p>Dataset Directories: <code>1</code></p></li><li><p>Image Count: <code>500 images</code></p></li></ul></li><li><p>📈 Stats:</p><ul><li><p>UNet Weight (Avg. Magnitude): <code>3.0170</code></p></li><li><p>UNet Weight (Avg. Strength): <code>0.0111</code></p></li><li><p>Text Encoder (1) - Weight (Avg. Magnitude): <code>1.7304</code></p></li><li><p>Text Encoder (1) - Weight (Avg. Strength): <code>0.0087</code></p></li><li><p>Text Encoder (2) - Weight (Avg. Magnitude): <code>1.7614</code></p></li><li><p>Text Encoder (2) - Weight (Avg. Strength): <code>0.0068</code></p></li></ul></li></ul><p></p><p>📂 <strong>FF-Midj-Last-v0563.safetensors</strong></p><ul><li><p>📅 Date: <code>2023-09-26T01:16:09</code></p></li><li><p>🏷️ Title: <code>FF-Midj-Last-v0563</code></p></li><li><p>🖼️ Resolution: <code>1024x1024</code></p></li><li><p>🧪 Architecture: <code>stable-diffusion-xl-v1-base/lora</code></p></li><li><p>🌐 Network Dimensions:</p><ul><li><p>Dim/Rank: <code>64.0</code></p></li><li><p>Alpha: <code>32.0</code></p></li></ul></li><li><p>🔌 Module: <code>networks.lora</code></p></li><li><p>📈 Stats:</p><ul><li><p>UNet Weight (Avg. Magnitude): <code>2.6731</code></p></li><li><p>UNet Weight (Avg. Strength): <code>0.0076</code></p></li><li><p>Text Encoder (1) - Weight (Avg. Magnitude): <code>2.5809</code></p></li><li><p>Text Encoder (1) - Weight (Avg. Strength): <code>0.0091</code></p></li><li><p>Text Encoder (2) - Weight (Avg. Magnitude): <code>2.6613</code></p></li><li><p>Text Encoder (2) - Weight (Avg. Strength): <code>0.0072</code></p></li></ul></li></ul><hr /><p>📂 <strong>FF-Midj-Rise-v0564.safetensors</strong></p><ul><li><p>📅 Date: <code>2023-09-26T02:01:20</code></p></li><li><p>🏷️ Title: <code>FF-Midj-Rise-v0564</code></p></li><li><p>🖼️ Resolution: <code>1024x1024</code></p></li><li><p>🧪 Architecture: <code>stable-diffusion-xl-v1-base/lora</code></p></li><li><p>🌐 Network Dimensions:</p><ul><li><p>Dim/Rank: <code>64.0</code></p></li><li><p>Alpha: <code>32.0</code></p></li></ul></li><li><p>🔌 Module: <code>networks.lora</code></p></li><li><p>📈 Stats:</p><ul><li><p>UNet Weight (Avg. Magnitude): <code>2.6016</code></p></li><li><p>UNet Weight (Avg. Strength): <code>0.0074</code></p></li><li><p>Text Encoder (1) - Weight (Avg. Magnitude): <code>2.5694</code></p></li><li><p>Text Encoder (1) - Weight (Avg. Strength): <code>0.0091</code></p></li><li><p>Text Encoder (2) - Weight (Avg. Magnitude): <code>2.6260</code></p></li><li><p>Text Encoder (2) - Weight (Avg. Strength): <code>0.0071</code></p></li></ul></li></ul><p>📂 <strong>FF-Midj-Top-v0564-FA-TX.safetensors</strong></p><ul><li><p>📅 Date: <code>2023-09-26T03:21:49</code></p></li><li><p>🏷️ Title: <code>FF-Midj-Top-v0564-FA-TX</code></p></li><li><p>🖼️ Resolution: <code>1024x1024</code></p></li><li><p>🧪 Architecture: <code>stable-diffusion-xl-v1-base/lora</code></p></li><li><p>🌐 Network Dimensions:</p><ul><li><p>Dim/Rank: <code>64.0</code></p></li><li><p>Alpha: <code>64.0</code></p></li></ul></li><li><p>🔌 Module: <code>networks.lora_fa</code></p></li><li><p>📈 Stats:</p><ul><li><p>Text Encoder (1) - Weight (Avg. Magnitude): <code>5.8341</code></p></li><li><p>Text Encoder (1) - Weight (Avg. Strength): <code>0.0191</code></p></li><li><p>Text Encoder (2) - Weight (Avg. Magnitude): <code>6.0269</code></p></li><li><p>Text Encoder (2) - Weight (Avg. Strength): <code>0.0153</code></p></li></ul></li><li><p>⚠️ Note: No UNet found in this LoRA.</p></li></ul><p></p><p></p><p></p><h3 id="heading-47">🌐 <a target="_blank" rel="ugc" href="http://FFusion.ai"><strong>FFusion.ai</strong></a><strong> Contact Information</strong></h3><p><em>Proudly maintained by Source Code Bulgaria Ltd &amp; Black Swan Technologies.</em></p><ul><li><p>📧 <strong>Email Us</strong>: <a target="_blank" rel="ugc" href="mailto:di@ffusion.ai">di@ffusion.ai</a> - For inquiries or support.</p></li><li><p>🌍 <strong>Locations</strong>: Sofia | Istanbul | London</p></li></ul><p><strong>Connect with Us:</strong></p><ul><li><p>🐙 <a target="_blank" rel="ugc" href="https://github.com/1e-2">GitHub</a></p></li><li><p>😊 <a target="_blank" rel="ugc" href="https://huggingface.co/FFusion">Hugging </a><a target="_new" rel="ugc" href="https://chat.openai.com/c/4440256e-8c09-4f2e-ab25-1c9abfbf67f9#">Face</a></p></li><li><p>💡 <a target="_blank" rel="ugc" href="https://civitai.com/user/idle/models">Civitai</a></p></li></ul><p><strong>Our Websites:</strong></p><ul><li><p>🌐 <a target="_blank" rel="ugc" href="http://FFusion.ai">FFusion.ai</a></p></li><li><p>🌌 <a target="_blank" rel="ugc" href="http://FFAI.eu">FFAI.eu</a></p></li><li><p>🔗 <a target="_blank" rel="ugc" href="http://1e-2.com">1e-2.com</a></p></li></ul>
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name: FF Style: HOT, RISING NEW - MidJourney Experiment
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