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View AllLORA Flux
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Squid Game | Lâm Panda-F1
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LORA Flux
Ani Bling Bling | Lâm Panda-f1
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LORA Flux
Paper Cut F1 | Lâm Panda-F1
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LORA Flux
Glow Line Anime - lamAniGL | Lâm Panda-F1
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LORA Flux
Sweet Game Candy | Lâm Panda-F1
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LORA Flux
Niji Night-2025-01-01 15:13:19
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LORA Flux
Xmas Ornament-F1
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LORA Flux
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Ricardo Christmas Is Coming To You | Lâm Panda-F1
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LORA Flux
FLUX Depth Controlnet-F1
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LORA Flux
FLUX Adapter FLUX.1 Redux dev-F1
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LORA Flux
GTA Vibe Illustration | Lâm Panda-F1
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LORA Flux
Heavy Brush | Lâm Panda-F1
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LORA Flux
Puzzle balloon art | Lâm Panda-f2
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LORA Flux
Ed Emshwiller | Lâm Panda-f1
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LORA Flux
3D flux | Lâm Panda-F1
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LORA SD3
Halloween skeleton concept S3-S3
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LORA Flux
Halloween Mini World F1 (Tilt Shift) | Lâm Panda-F1
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LORA Flux
Halloween Food | Lâm Panda-F1
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LORA Flux
Halloween Drink | Lam Panda-F1
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LORA Flux
Data visualization | Lâm Panda-f1
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View AllHow to Select Optimal Image Data Human for Model Training Flux AI
:))) you click this article cuz Ricardo Milos or you want to fine-tuning Flux AI? But at here, to ensure you get the best performance when fine-tuning Flux AI, it's essential to curate an appropriate dataset. Here’s a comprehensive guide to help you select the right image data, if you don't know what is Flux find out here: https://maitruclam.com/flux-ai-la-gi/ This introduction best with:Flux DevKohya-ss training toolSome online train web but not have a lot of too much interventionSo... Start:1. Quality Over QuantityIdeal Dataset Size: Aim for fewer than 30 images per LoRA (Low-Rank Adaptation). This compact dataset allows the model to focus intensely on the specific features and styles you want to capture.Avoid Overfitting: A small but high-quality dataset can prevent the model from memorizing data rather than learning to generalize.2. Consistency is KeyChoose a Theme: Select images that share a common theme, style, or subject matter to help the model learn specific characteristics.Maintain Uniformity: Consistency in color palettes, styles, and overall aesthetics will enhance the model’s ability to replicate desired outputs.3. Diverse Poses and AnglesVariety is Important: Include images showing various poses, angles, and expressions to provide the model with a broader understanding of the subject.Prevent Rigidity: This diversity helps the model generate more flexible and dynamic outputs.4. Clean BackgroundsSimplicity Matters: Opt for images with neutral or simple backgrounds that allow the main subject to stand out.Focus on the Subject: This reduces distractions for the model, leading to clearer and more focused results.5. High Resolution MattersImage Quality: Use high-resolution images (at least 512x512 pixels or higher) to provide detailed information.Enhances Learning: Better quality images enable the model to capture finer details and textures.6. PNG for Superior ResultsFormat Preference: Based on personal experience, PNG images tend to yield superior results compared to JPEG or other formats.Lossless Compression: PNG files maintain image quality without compression artifacts, which is beneficial for the training process.7. Balanced LightingLighting Consistency: Select images with clear, well-balanced lighting to avoid confusion during training.Avoid Extremes: Images with harsh shadows or overexposed highlights can mislead the model and lead to poor results.8. Avoid Text and WatermarksKeep it Clean: Steer clear of images containing text, logos, or watermarks, as they can introduce unwanted artifacts into the generated images.Focus on the Visuals: Ensure your dataset consists solely of images that represent the subject without distractions.Worst case: logos, text or other things are fine but don't let a single thing take up more than 30% of your lora data. In fact I tried to create a wattermark of my bear logo in the image and flux filtered most of the output (but out of 10 images there will be 3 or more with the bear logo), so basically it doesn't matter too much.9. Ethical ConsiderationsRights and Permissions: Ensure you have the legal rights to use all images in your dataset.Avoid Copyright Issues: Do not use copyrighted material or personal images without proper permissions.10. Experiment with Training StepsOptimal Training Steps: The ideal number of training steps varies by LoRA and dataset. A general range of 500-1600 steps is recommended.Iterative Testing: Experiment with different step counts to determine what works best for your specific project and dataset.ConclusionBy following these detailed guidelines, you can create a high-quality, focused dataset that will significantly enhance your results when fine-tuning Flux AI models. Remember, starting with a small, well-curated set of images and refining based on your outcomes is key to achieving the best possible results in your image generation projects. Happy training!
Creating Halloween2024 Themed Art with Flux on Tensor Art
Get ready to explore your artistic side this Halloween by using the Flux model on Tensor Art. This guide will help you create stunning, spooky images that capture the spirit of the season.Understanding FluxSo, what is Flux AI? Flux is an advanced AI model similar to Stable Diffusion, designed to generate high-quality images based on textual prompts. For a deeper understanding, I have a comprehensive blog post with 4,000 words that covers everything in detail. You can check it out here: Flux AI Overview.By writing detailed and imaginative prompts, you can create unique Halloween-themed artwork. An easy way to get started is to use AI to help write your prompts. This method is quick and requires only a brief description for you to generate images.Writing Effective PromptsTo begin, it’s crucial to know how to write effective prompts. A well-crafted prompt should be descriptive and evoke vivid imagery. Here’s an example prompt for a Halloween scene that you can adjust slightly or use directly:Sample PromptA striking and surreal scene that combines elements of both the natural world and fantasy. Dominating the composition is a massive, reptilian eye, filling almost the entire frame. The eye is highly detailed, with a slit-like pupil that suggests it belongs to a large, powerful creature, perhaps a dragon or another mythical being. The texture around the eye is rugged and scaly, giving the impression of ancient, weathered skin. In the lower portion of the image, a solitary human figure stands before the eye, dressed in a flowing black robe. The figure is tiny in comparison to the colossal eye, emphasizing the vast difference in scale and power between the two. The person stands on a surface that appears to be water or mist, which reflects the eerie, otherworldly light that surrounds the scene. The atmosphere is misty and dreamlike, adding to the sense of mystery and awe. Overall, the image is both dramatic and thought-provoking, blending cultural elements with a fantastical imagination to create a visually captivating scene.Good luck with your creations!Additional Models for Halloween FunYou can also explore some other interesting models for your Halloween projects, such as:Face Swap with Anyone! HALLOWEEN2024: Change your face with any character and create a fun Halloween experience.LORA Models:APT.-MV Style or Lam Panda Cute: Use this LORA to enhance your images.More Halloween LORA OptionsGhoxt: A ghost that you want to catch and "collide" with you. Oh My Ghoxt!: Perfect for creating unique and interesting paper images.Layered Paper: Paper Cut F1 or Lam Panda F1: Create unique layered paper models.Origami Models: Paper Craft F1 or Lam Panda v1: Explore various origami designs. (interesting photo of a user using my model)With these tools and prompts, you're all set to create captivating Halloween-themed artwork. Enjoy the process and let your imagination run wild!
FLUX ERROR and how to Fix it (or not)
Actually, here is a list of questions and more for you to check yourself, if possible and you have images, provide full error information maybe the community will support you better.And here is the check list before, during and after running Flux with tons of errors:Before:- Is your computer configuration strong enough?- Minimum 12GB vRam- Minimum 30 GB of space to store models, VAE and CLIP?- Do you choose dev (quality) or schnell (speed) to run?Also, you should check my tutorial to understand how to install and some things around: https://maitruclam.com/flux-ai-la-gi/Simple workflow with FLUX: https://civitai.com/models/617060/comfyui-workflow-for-flux-simpleFLUX.1 model [dev] (I encourage you to play with it instead of schnell): https://civitai.com/models/617609/flux1-devOr download their original model:https://huggingface.co/black-forest-labs/FLUX.1-schnell/tree/mainhttps://huggingface.co/black-forest-labs/FLUX.1-devWhile:- Make sure you have downloaded all the required files into UNET, VAE AND CLIP- Make sure you have upgraded ComfyUI to the latest versionAfter:- On average, the reports show that the minimum time when running with schnell is 10s for 1 photo.- For weak devices, the time for each 1024x1024 photo is 2p - 45p (wtf this guy is really patient when waiting for 45p :))- If you have unique workflows to process photos such as: creating a series of different result prompts, can process skin, color, change style,... with FLUX Contact me and I am ready to share my VPS to discuss more in https://discord.gg/dMkHMwDVAh! This is a very very very SFW model so after clicking create image, go outside and touch the grass.Happy screaming :)