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I made my first Flux Lora style on Civitai : r/StableDiffusion
New Makima flux lora | image created by WhiteZ | Tensor.Art

flux_makima, woman, collared shirt, white shirt, black necktie, black pants, red hair, single braid, in the office holding a sign with the text: "tensor art", smiling evilly , pixiv
[FLUX LORA INCLUDED] Art Nouveau
New Flux Lora - Flat Colour Anime v3 : r/StableDiffusion
Hi all. I just released a new version of my Flat Color Anime lora updated for Flux Dev.

https://civitai.com/models/180891/flat-color-anime?modelVersionId=724241

This was something I worked on for SDXL a while ago to try and get a clean anime style similar to some of the 1.5 checkpoints I liked. I got the inspiration with Flux to have a go at updating it and I'm loving how the results are coming out so thought I'd share. I'll be refining it over the next days/weeks so any feedback is appreciated. Enjoy! https://www.reddit.com/r/StableDiffusion/comments/1esrzf1/new_flux_lora_flat_colour_anime_v3/https://preview.redd.it/new-flux-lora-flat-colour-anime-v3-v0-mm7fsj1c4tid1.png?width=832&format=png&auto=webp&s=7022ef6a073cfa9a7367f9ca47c7ca64cec72424 Flat Color Anime v3.1 - v3.1 Flux Dev | Stable Diffusion LoRA | Civitai
Online FLUX! fal.ai integrates ControlNet, providing online LoRA training
Exciting news for drawing enthusiasts! "FLUX Online Edition" at fal.ai has introduced a series of powerful new features, including important modules like ControlNet and LoRA. The best part? These features are ready to use straight out of the box, without the need for complex configurations.

Feature Highlights

ControlNet: This new feature makes it effortless to modify character expressions in images and even control objects within the scene.

LoRA Model Online Training: Users can train their own LoRA models online and share them via links, allowing creativity to spread widely.
The robust capabilities of FLUX, combined with third-party developed ControlNet and LoRA, make drawing more flexible and personalized. Netizens have already started creating a variety of styles with these tools, from cyberpunk to Chinese traditional, limited only by imagination.

The ease of use of FLUX Online Edition is one of the key reasons for its popularity. Users do not need to deploy models or set up workflows themselves; they can simply use these advanced drawing tools through the fal.ai platform.

fal.ai is one of the official online inference platforms cooperated with the FLUX development team, Black Forest Lab. Team member Jonathan Fischoff actively shares works created by users on the platform on Twitter, showcasing the diverse applications of FLUX and LoRA models.

Netizens have reacted enthusiastically to the new features of FLUX Online Edition, looking forward to combining ControlNet and LoRA with image-to-image functions to create more diverse visual effects.

Fischoff demonstrated images generated by FLUX using ControlNet contour control, and how to quickly generate new images with different styles by modifying prompt words.
The Imp project aims to provide a family of a strong multimodal small language models (MSLMs). Our imp-v1-3b is a strong MSLM with only 3B parameters, which is build upon a small yet powerful SLM Phi-2 (2.7B) and a powerful visual encoder SigLIP (0.4B), and trained on the LLaVA-v1.5 training set.

As shown in the image below, imp-v1-3b significantly outperforms the counterparts of similar model sizes, and even achieves slightly better performance than the strong LLaVA-7B model on various multimodal benchmarks.
https://huggingface.co/MILVLG/imp-v1-3b MILVLG/imp-v1-3b · Hugging Face
alvdansen
/
flux-koda
#StableDiffusion #Flux #AI #ComfyUI
Model description
Koda captures the nostalgic essence of early 1990s photography, evoking memories of disposable cameras and carefree travels. It specializes in creating images with a distinct vintage quality, characterized by slightly washed-out colors, soft focus, and the occasional light leak or film grain. The model excels at producing slice-of-life scenes that feel spontaneous and candid, as if plucked from a family photo album or a backpacker's travel diary.

Words that can highlight interesting nuances within the model:

kodachrome, blurry, realistic, still life, depth of field, scenery, no humans, monochrome, greyscale, traditional media, horizon, looking at viewer, light particles, shadow

https://cdn-uploads.huggingface.co/production/uploads/635dd6cd4fabde0df74aeae6/7CqMzFOlH6yoM-NpQdYDs.png
ostris / flux-dev-lora-trainer

Train ostris/flux-dev-lora-trainer
Trainings for this model run on Nvidia H100 GPU hardware, which costs $0.001528 per second.

If you haven’t yet trained a model on Replicate, we recommend you read one of the following guides.

Fine-tune an image model
Fine-tune SDXL with your own images
Create training
The easiest way to train ostris/flux-dev-lora-trainer is to use the form below. Upon creation, you will be redirected to the training detail page where you can monitor your training's progress, and eventually download the weights and run the trained model.https://replicate.com/ostris/flux-dev-lora-trainer/train ostris/flux-dev-lora-trainer – Replicate
The flux-lora-collection is a series of LoRA training checkpoints for the FLUX.1-dev model released by the XLabs AI team. This collection supports the generation of images in various styles and themes, such as anthropomorphism, anime, and Disney styles, offering high customizability and innovation.
https://huggingface.co/XLabs-AI/flux-lora-collection XLabs-AI/flux-lora-collection · Hugging Face
🚀 OV-DINO (Open-Vocabulary Detection with Instance-level Noise Optimization)

New approach to open-vocabulary object detection. It improves the ability of vision models to detect and identify objects in images, even objects outside training data.

🤩 SAM2 integration in Demo👇
VGGHeads

- Gradio demo: https://huggingface.co/spaces/okupyn/vgg_heads
- 5 visualization: 'Full', 'Head Boxes', 'Face Landmarks', 'Head Mesh', 'Head Pose'
- Model predicts various aspects of head detection & reconstruction perfectly
- VR, gaming, & animation uses
- 2D image inputs for 3D head outputs
📣 LLM-DetectAIve: Fine grained detection of machine-generated text

Classifies any text into 4 categories: Human-written, Machine-generated, Machine-written machine-humanized, and Human-written machine-polished💡😀

More nuanced compared to the current binary classification sota
Text-to-Single-ID Generation
🚀🚀🚀Quick start:
1. Enter a text prompt (Chinese or English), Upload an image with a face, and Click the Run button.
2. (Optional) You can also upload an image as the style reference for the results. 🤗
💡💡💡Tips:
1. Try to avoid creating too small faces, as this may lead to some artifacts. (Currently, the short side length of the generated image is limited to 512)
2. It's a good idea to upload multiple reference photos of your face to improve the prompt and ID consistency. Additional references can be uploaded in the "ID supplements".
3. The appropriate values of "Face ID Scale" and "Face Structure Scale" are important for balancing the ID and text alignment. We recommend using "Face ID Scale" (0.5~0.7) and "Face Structure Scale" (0.0~0.4). https://huggingface.co/spaces/Junjie96/UniPortrait UniPortrait - a Hugging Face Space by Junjie96
Introducing FalconMamba 7B: An attention-free 7B model which is pretty strong!

🤯Can process unlimited sequence lengths, outperforms traditional models, and fit on a single 24GB GPU.

Open-source and available on HF🤗. FalconMamba-7b Gradio Demo:https://huggingface.co/spaces/tiiuae/falcon-mamba-playground Falcon Mamba Playground - a Hugging Face Space by tiiuae
VGGHeads

🤯 Model performs simultaneous head detections and head meshes reconstruction (for multiple faces!) from a single image in a single step.

Runs on a CPU!🚀 More+Link👇https://pbs.twimg.com/media/GUyFx9WWgAAorFY?format=jpg&name=small