download_ltx23sample_to_local

README.md

@@ -2,188 +2,30 @@
 license: wtfpl
 ---
 
-# malcolmrey's Various AI Model, Architecture & Research Repository
+# malcolmrey's Various AI Model Repository
 
-Welcome to the central research and asset repository of **malcolmrey**. This repository hosts cutting-edge tools, custom architectures, RefMod latent adapter systems, video synthesis engines, training configurations, benchmark suites, cinematic scripts, and comprehensive educational guides spanning **MiniMax-H3**, **FLUX.2 / Klein 9B**, **Qwen-Image 2.1**, **WAN 2.1**, **LTX-Video**, **Z-Image**, **SDXL**, and **Stable Diffusion**.
+This is the repository of **malcolmrey** where various things related to **Stable Diffusion**, **Flux**, **WAN**, and other upcoming model architectures will land.
 
-Much of the training work here uses **[maltrainer](https://github.com/malcolmamal/maltrainer)**, malcolmrey's own LoRA trainer.
+## Current Content
 
----
-
-## 🧭 Repository Map & Quick Navigation
-
-| Section / Directory | Focus Area & Description | Key Resources & Direct Links |
-| :--- | :--- | :--- |
-| 🎬 **[`h3-center/`](h3-center/)** | **MiniMax-H3 Video & Cinema Hub**<br>Complete prompt guides, RefMod stacking, hybrid LoRA+RefMod containers, identity-LoRA epoch sweeps, 1,500+ character tests, and 9-episode Crossovers cinematic series. | • [Prompting Guide](h3-center/docs/MINIMAX_H3_PROMPTING_GUIDE.md)<br>• [RefMod Stacking Guide](h3-center/docs/MINIMAX_H3_REFMOD_STACKING_AND_MULTISUBJECT_GUIDE.md)<br>• [Hybrid LoRA+RefMod Guide](h3-center/docs/MINIMAX_H3_HYBRID_LORA_REFMOD_CONTAINERS_GUIDE.md)<br>• [Jinx LoRA Epoch Sweep & RefMod Stack](h3-center/docs/lora/README.md)<br>• [Multistacking Benchmark Demos](h3-center/docs/multistacking/README.md)<br>• [Known Characters Usability Index](h3-center/known-characters/INDEX.md)<br>• [Crossovers Cinema Series](h3-center/crossovers/README.md) |
-| 🎨 **[`klein9/`](klein9/)** | **FLUX.2 & Klein 9B RefMods**<br>Instant reference latent adapter ecosystem, custom ComfyUI nodes, CLI batch extractor, and benchmark suites. | • [RefMod Architecture Guide](klein9/docs/FLUX2_KLEIN9_REFMODS_GUIDE.md)<br>• [ComfyUI Node](klein9/comfyui/custom_nodes/ComfyUI-Flux2Klein9Mod/)<br>• [Batch Extractor Tool](klein9/generate_flux2_klein9_refmod.py)<br>• [Workflows](klein9/workflows/) \| [Visual Benchmarks](klein9/docs/VISUAL_BENCHMARKS_AND_COMPARISONS.md) |
-| 👁️ **[`qwen/`](qwen/)** | **Qwen-Image 2.1 Multimodal Hub**<br>Vision-Language (Qwen3-VL) conditioning architecture, reference strategy analysis, identity transfer, prompt engineering standards, edit samples, and a LoRA optimizer benchmark trained with maltrainer. | • [RefMod Compatibility & ViT Architecture](qwen/docs/QWEN_IMAGE_21_REFMOD_COMPATIBILITY_AND_VISION_ENCODER_ARCHITECTURE.md)<br>• [Reference Strategy & Prompting Guide](qwen/docs/QWEN_IMAGE_21_REFERENCE_STRATEGY_AND_PROMPTING_GUIDE.md)<br>• [LoRA Optimizer Benchmark (maltrainer)](qwen/docs/QWEN_IMAGE_21_LORA_OPTIMIZER_BENCHMARK.md)<br>• [Qwen Hub Overview](qwen/README.md) |
-| ⚡ **[`zimage-turbo-vs-base-training/`](zimage-turbo-vs-base-training/)** | **Z Image Base vs. Turbo Benchmark**<br>Head-to-head training comparison across OneTrainer, MalTrainer, and AI Toolkit with datasets and weights. | • [Benchmark Overview & Configs](zimage-turbo-vs-base-training/README.md)<br>• Datasets, AdamW/Prodigy configs, & `.safetensors` weights |
-| 🛠️ **[`training-scripts/`](training-scripts/)** | **Production Training Configs**<br>Ready-to-use recipes for OneTrainer, Musubi Tuner, AI Toolkit, and MalTrainer. | • [OneTrainer Templates](training-scripts/onetrainer/) (Ernie, FK9, Krea2, SDXL, Z-Image)<br>• [Musubi Pipelines](training-scripts/musubi/) (Ernie, LTX23)<br>• [AI Toolkit](training-scripts/aitoolkit/) (FK9, Ideogram 4, WAN, Z-Image)<br>• [MalTrainer](training-scripts/maltrainer/) (Qwen-Image 2.1, Z-Image) |
-| 🎥 **Sample Media & Benchmarks** | **Model Generation Sample Libraries**<br>High-fidelity outputs and verification test suites. | • [`ltx23-samples/`](ltx23-samples/) (20 LTX-Video 2.3 renders)<br>• [`ernie-samples/`](ernie-samples/) (`ernie-samples.zip`)<br>• [`samples/fk9/`](samples/fk9/) (Rose Byrne & Sydney Sweeney outputs)<br>• [`qwen/samples/edit/`](qwen/samples/edit/) (11 Qwen-Image 2.1 character edits) |
-| 🗂️ **[`datasets/`](datasets/)** | **Sample Training Datasets**<br>Small image sets used in the training experiments. | • [`datasets/jinx/`](datasets/jinx/) (19 images)<br>• [`datasets/karengillan/`](datasets/karengillan/) (22 images) |
-| 📚 **Guides & Articles** | **Comprehensive Knowledge Base**<br>In-depth technical guides for model training, optimization, and prompt engineering. | • [WAN 2.1 LoRA Training Tutorial](tutorials/wan-21-lora-training.md)<br>• [CivitAI Articles Collection](articles.md) |
-
----
-
-## 🎬 MiniMax-H3 Center (`h3-center/`)
-
-The **MiniMax-H3 Center** is an all-in-one research laboratory and production studio for the MiniMax Hailuo 01 / H3 text-to-video, image-to-video (I2V), reference-to-video (R2V), and clip-to-video (C2V) architectures.
-
-### 📖 In-Depth Guides & Technical Documentation
-- 📘 **[MiniMax-H3 Video Prompt Writing Guide (v1.3.0)](h3-center/docs/MINIMAX_H3_PROMPTING_GUIDE.md)**: The authoritative standard for prompting MiniMax-H3. Covers pinpoint actor casting, character tag binding (`<Subject 1>`), timestamped action choreography (`through 00:08.000`), diegetic soundscapes, non-diegetic audio rules, camera vectors, and anti-patterns.
-- 🧬 **[RefMod Stacking & Multi-Subject Architecture Guide](h3-center/docs/MINIMAX_H3_REFMOD_STACKING_AND_MULTISUBJECT_GUIDE.md)**: Guide on injecting multiple pre-encoded latent references (`.safetensors`), single-persona Triple-RefMod fidelity stacking, conceptual body shape boosters, dual-persona shared frame conditioning, dual audio lip-syncing, and polyphonic counterpoint duets.
-- 📦 **[Hybrid LoRA + RefMod Container Specification Guide](h3-center/docs/MINIMAX_H3_HYBRID_LORA_REFMOD_CONTAINERS_GUIDE.md)**: Technical guide and implementation for embedding both LoRA weights and RefMod reference latents in a single `.safetensors` file, fully compatible with standard LoRA loaders (Power Lora Loader) and dedicated dual ComfyUI loader nodes.
-- 🎬 **[Multi-Stacking Benchmark Demos & Video Suite](h3-center/docs/multistacking/README.md)**: Verified `.mp4` benchmarks demonstrating single-persona Triple RefMods (Billie Eilish), dual conversations (Billie & Miley Cyrus), simultaneous two-shots, dual audio conditioning, and counterpoint singing duets with local RefMod latent files.
-- 🔗 **[C2V Continuous Chain Generation Guide](h3-center/docs/C2V_CONTINUOUS_CHAIN_GUIDE.md)**: Pipeline for chaining 5-second to 15-second video clips losslessly into seamless continuous takes.
-- 🎵 **[Audio-Synchronized & C2V Music Videos Guide](h3-center/docs/MINIMAX_AUDIO_SYNC_AND_C2V_MUSIC_VIDEOS.md)**: Techniques for aligning video cadence and singing motion with pre-recorded vocal tracks.
-- ⚙️ **[RefMods Installation & Usage Guide](h3-center/docs/MINIMAX_H3_REFMODS_INSTALLATION_AND_USAGE_GUIDE.md)** & **[RefMod Creation Guide](h3-center/docs/MINIMAX_H3_REFMOD_CREATION_GUIDE.md)**: Step-by-step instructions for extracting RefMod `.safetensors` from images and loading them into ComfyUI pipelines.
-- ⚖️ **[RefMods vs. Reference Images Comparison](h3-center/docs/MINIMAX_REFMODS_VS_REFERENCE_IMAGES.md)**: Architectural analysis of speed, latent fidelity, and token efficiency comparing pre-computed RefMods against raw pixel reference workflows.
-- 🧪 **[Jinx Identity LoRA Epoch Sweep & RefMod Stack](h3-center/docs/lora/README.md)**: A/B of an identity LoRA (epochs 60 / 80 / final) against a single identity RefMod and both combined, with 6 verified `.mp4` clips. Findings: **RefMod + LoRA is the strongest identity lock**, epoch 60 is already enough, and the LoRA carries the Arcane art style along with the face.
-- 🐍 **RefMod generator script:** [`h3-center/docs/scripts/generate_refmod.py`](h3-center/docs/scripts/generate_refmod.py)
-
-### 👥 Known Characters & Usability Database
-- 📊 **[Usability Index (INDEX.md)](h3-center/known-characters/INDEX.md)** & **[Unusable Index (INDEX_BAD.md)](h3-center/known-characters/INDEX_BAD.md)**: Empirical test results evaluating over **1,500+** characters, actors, and public figures directly in MiniMax-H3:
-  - **Good (540+ subjects):** Characters with zero-shot likeness locks (e.g., House, Dexter, Michael Scott, Walter White, Gandalf, Wednesday Addams, Dean Winchester).
-  - **On the Fence (90+ subjects):** Subjects requiring targeted prompt tuning or RefMod assistance.
-  - **Bad (920+ subjects):** Subjects that fail without custom LoRAs or dedicated RefMods.
-
-### 🎥 Crossovers Episodic Cinema Series
-- 🍿 **[Crossovers Series Master Catalog](h3-center/crossovers/README.md)**: 9 narrative episodes created with MiniMax-H3, with cast listings and synopses (8 rendered `.mp4` files in the repo):
-  - **Episode 1:** *The Contagion of Secrets* (House, Monk, Dwight, Dexter, Malcolm Reynolds, Mulder, Penny)
-  - **Episode 2:** *The Cosmic Extradition* (Dean Winchester, Mal Reynolds, Sherlock, Pam Beesly, Lucifer, 10th Doctor, Saul Goodman, Steve Rogers, John Locke, Tony Stark)
-  - **Episode 3:** *Lockdown at Sabre Tower* (Michael Scott, Wednesday Addams, John McClane, Seeley Booth, James Bond, Steve Rogers, Elliot Alderson, Lucifer, Jack Bauer)
-  - **Episode 4:** *The War for the Obsidian Portal* (Maleficent, Daenerys, Gandalf, Dr. Strange, Hermione, Maximus, Jack Sparrow)
-  - **Episode 5:** *The Flat Earth Experience* (Joe Rogan, Kanye West, Neil deGrasse Tyson, Dave Chappelle, Sir Anthony Hopkins)
-  - **Episode 6:** *Dave Chappelle: The Flat Earth Special* (Stand-up comedy special)
-  - **Episode 7:** *Dr. Robert Ford: On Meaning* (Philosophical monologue from Westworld)
-  - **Episode 8:** *Ellis Boyd 'Red' Redding: On Hope and Love* (Shawshank monologue)
-  - **Episode 9:** *Captain Malcolm Reynolds: Alone on Serenity* (Firefly character study)
-- 📚 **[Show & Character Guides (`h3-center/crossovers/docs/shows/`)](h3-center/crossovers/docs/shows/)**: Over **250+** show guides detailing character wardrobe, distinctive traits, and scene rules.
+Right now we have one tutorial that was pulled out of CivitAI regarding **WAN 2.1 LoRA training**:
 
----
-
-## 🎨 FLUX.2 & Klein 9B RefMods (`klein9/`)
-
-**RefMods (Reference Latent Adapters)** provide zero-shot facial fidelity and concept locking for **FLUX.2**, **Klein 4B**, **Klein 8B**, and **Klein 9B** without the VRAM overhead or training time required by full fine-tunes or LoRAs.
-
-- 🌐 **Interactive Model Browser:** [https://huggingface.co/spaces/malcolmrey/browser](https://huggingface.co/spaces/malcolmrey/browser) (Explore 1,400+ pre-extracted RefMods)
-- 🤗 **Model Weights Hub:** [https://huggingface.co/malcolmrey/klein9](https://huggingface.co/malcolmrey/klein9) (Download `.safetensors` adapters)
-- 🔌 **ComfyUI Custom Node:** [`klein9/comfyui/custom_nodes/ComfyUI-Flux2Klein9Mod/`](klein9/comfyui/custom_nodes/ComfyUI-Flux2Klein9Mod/) (Also available on [GitHub](https://github.com/malcolmamal/ComfyUI-Flux2Klein9Mod))
-- ⚡ **CLI Generator & Mass Batch Extractor:** [`klein9/generate_flux2_klein9_refmod.py`](klein9/generate_flux2_klein9_refmod.py)
-- 📑 **Architecture & Extraction Guide:** [`klein9/docs/FLUX2_KLEIN9_REFMODS_GUIDE.md`](klein9/docs/FLUX2_KLEIN9_REFMODS_GUIDE.md)
-- 📊 **Visual Benchmarks & Comparisons:** [`klein9/docs/VISUAL_BENCHMARKS_AND_COMPARISONS.md`](klein9/docs/VISUAL_BENCHMARKS_AND_COMPARISONS.md)
-- 🔄 **Production Workflows:**
-  - Pure RefMod Text-to-Image: [`klein9/workflows/workflow_klein9_refmod.json`](klein9/workflows/workflow_klein9_refmod.json)
-  - Hybrid RefMod + LoRA Stack: [`klein9/workflows/workflow_klein9_refmod_lora.json`](klein9/workflows/workflow_klein9_refmod_lora.json)
-- 🖼️ **Sample Generations:** [`samples/fk9/`](samples/fk9/) (Rose Byrne and Sydney Sweeney benchmark runs)
-
----
-
-## 👁️ Qwen-Image 2.1 Multimodal Hub (`qwen/`)
+� [**WAN 2.1 LoRA Training Tutorial**](tutorials/wan-21-lora-training.md) - Complete guide on training WAN 2.1 LoRA models using AI Toolkit, including optimal dataset preparation, step-by-step instructions, and best practices.
 
-The **Qwen-Image 2.1 Hub** covers empirical research and architectural standards for image generation and character identity transfer using the **Qwen-Image 2.1 Diffusion Transformer + Qwen3-VL Vision-Language conditioning pipeline**.
+### Articles Collection
 
-### 📖 Technical Documentation & Guides
-- 📘 **[RefMod Compatibility & Vision-Language Architecture Analysis](qwen/docs/QWEN_IMAGE_21_REFMOD_COMPATIBILITY_AND_VISION_ENCODER_ARCHITECTURE.md)**: Details why pre-encoded VAE RefMod adapters (`.safetensors` from MiniMax-H3 / FLUX.2) are mathematically incompatible with Qwen-Image 2.1, explaining Qwen3-VL's live ViT patch projection, dynamic token insertion, and joint cross-attention.
-- 📋 **[Reference Strategy, Prompting Standards & Identity Preservation Guide](qwen/docs/QWEN_IMAGE_21_REFERENCE_STRATEGY_AND_PROMPTING_GUIDE.md)**: Complete empirical benchmarking of reference strategies:
-  - Demonstrates why **1 Reference Image per Person** is the optimal standard.
-  - Documents failure modes of multi-image referencing for single subjects (token dilution, feature blending).
-  - Documents failure modes of 2x2 and 3x3 composite grids (grid leak, loss of high-frequency skin textures).
-  - Provides master production prompt templates for precision face-swapping (preserving body, pose, age, skin pores, and clothing) and multi-character scenes.
-- 🏋️ **[LoRA Optimizer Benchmark: AdamW vs Prodigy vs Automagic3](qwen/docs/QWEN_IMAGE_21_LORA_OPTIMIZER_BENCHMARK.md)**: Two-subject LoRA benchmark (Felicia Day, Rhea Seehorn) trained with **[maltrainer](https://github.com/malcolmamal/maltrainer)** on one RTX 5090 directly from the ComfyUI INT8 checkpoints. Every checkpoint was scored for likeness (ArcFace), prompt adherence (Qwen3-VL judge), seed diversity and memorization.
-  - **Recommended: Automagic3, ~1500 steps (60–80 epochs), ≈13–16 minutes.** Likeness plateaus by ~1250 steps and stays flat, with the best prompt adherence and the smallest adapter.
-  - Likeness is a tie across optimizers; Prodigy's learning rate keeps climbing until it memorizes the training set and ignores the prompt.
-  - Caption finding: if captions say only "a woman …", the trigger never learns gender, so prompt with `"<trigger>, a woman, …"`.
-  - Ready-to-use config: [`training-scripts/maltrainer/qwen_image_2_1_template.yaml`](training-scripts/maltrainer/qwen_image_2_1_template.yaml)
+For a comprehensive collection of training guides, tutorials, and resources, check out:
 
-### 🖼️ Samples
-- **[`qwen/samples/edit/`](qwen/samples/edit/)**: 11 Qwen-Image 2.1 reference-edit outputs placing actors into iconic roles (e.g. Al Pacino as Tony Montana, Charlize Theron as Furiosa, Mads Mikkelsen as Hannibal Lecter, Gillian Anderson as Dana Scully).
+📚 [**Articles Collection**](articles.md) - Curated list of malcolmrey's articles from CivitAI covering DreamBooth, LoRA, LyCORIS, SDXL, Flux training, generation techniques, quality optimization tips, and useful tools & scripts.
 
----
+## Find malcolmrey
 
-## ⚡ Z Image Base vs. Z Image Turbo Training Suite (`zimage-turbo-vs-base-training/`)
+If you have a particular priority request you can always drop it at my coffee page: https://buymeacoffee.com/malcolmrey
 
-An empirical training study benchmarking **Z Image (Base)** against **Z Image (Turbo)** using identical curated datasets (Felicia Day, Olivia).
+**Other places where you can find me:**
 
-- 📋 **[Overview & Documentation](zimage-turbo-vs-base-training/README.md)**
-- 📁 **Dataset:** [Curated 23-image high-resolution dataset](https://huggingface.co/datasets/malcolmrey/various/tree/main/zimage-turbo-vs-base-training/dataset)
-- ⚙️ **OneTrainer Configs:** AdamW and Prodigy optimization profiles (`.json`)
-- 🤖 **MalTrainer & AI Toolkit Recipes:** Full training configurations (`.yaml`)
-- 📦 **Trained Weights:** Verified `.safetensors` models for both Base and Turbo versions
-
----
-
-## 🛠️ Production Training Scripts & Templates (`training-scripts/`)
-
-Curated configurations for high-efficiency model training across popular trainers:
-
-- 🟢 **[OneTrainer (`training-scripts/onetrainer/`)](training-scripts/onetrainer/)**:
-  - `fk9_template.json` & `fk9_prodigy_template.json` — Klein 9B / FLUX.2 LoRA templates
-  - `ernie_template.json` — Ernie training configuration
-  - `krea2_template.json` & `krea2prodigy_template.json` — Krea 2 templates
-  - `sdxl_template.json` & `sdxl_prodigy_template.json` — SDXL templates
-  - `zimage_base_template.json` & `zimage_turbo_template.json` — Z-Image Base / Turbo templates
-- 🟣 **[Musubi Tuner (`training-scripts/musubi/`)](training-scripts/musubi/)**:
-  - `musubi/ernie/` — Multi-resolution Ernie training scripts
-  - `musubi/ltx23/` — LTX-Video 2.3 video model training configurations
-- 🔵 **[AI Toolkit (`training-scripts/aitoolkit/`)](training-scripts/aitoolkit/)**:
-  - `fk9_template.yaml` & `fk9r_template.yaml` — Klein 9B / FLUX.2
-  - `ideogram4_template.yaml` — Ideogram 4
-  - `wan_template.yaml` — WAN 2.1
-  - `zimage_template.yaml`, `zbase_template.yaml` & `zonetrainer_template.yaml` — Z-Image variants
-- 🟠 **[MalTrainer (`training-scripts/maltrainer/`)](training-scripts/maltrainer/)** — configs for **[maltrainer](https://github.com/malcolmamal/maltrainer)**, malcolmrey's own trainer:
-  - `qwen_image_2_1_template.yaml` — Qwen-Image 2.1 LoRA, the benchmark's recommended setting (Automagic3, ~1500 steps). Trains directly on the ComfyUI INT8 checkpoints. See the [optimizer benchmark](qwen/docs/QWEN_IMAGE_21_LORA_OPTIMIZER_BENCHMARK.md).
-  - `zimage_base_template.yaml` — Z-Image Base LoRA
-
----
-
-## 🎥 Video Samples & Benchmarks
-
-- 🎞️ **[`ltx23-samples/`](ltx23-samples/)**: 20 full-motion test videos evaluating coherence, prompt fidelity, and motion dynamics with **LTX-Video 2.3**.
-- 📦 **[`ernie-samples/`](ernie-samples/)**: Comprehensive benchmark sample package (`ernie-samples.zip`).
-- 🎬 **[`h3-center/crossovers/`](h3-center/crossovers/)**: 8 rendered `.mp4` full narrative crossover episodes.
-- 🎼 **[`h3-center/docs/multistacking/`](h3-center/docs/multistacking/)**: 8 dual-audio and counterpoint singing benchmark videos.
-- 🧪 **[`h3-center/docs/lora/`](h3-center/docs/lora/README.md)**: 6 Jinx identity-LoRA / RefMod comparison clips (5 s, 1344×768).
-- 🎤 **[`h3-center/docs/examples/`](h3-center/docs/examples/)**: 6 Billie Eilish / Miley Cyrus speech, singing and two-shot test clips.
-- 🗜️ **[`ltx-artifacts.zip`](ltx-artifacts.zip)**: 107 MB archive of LTX-Video material.
-
----
-
-## 🗂️ Sample Datasets (`datasets/`)
-
-Small image sets used in the training experiments (images only, no caption files):
-
-- **[`datasets/jinx/`](datasets/jinx/)** — 19 images (Jinx / Arcane)
-- **[`datasets/karengillan/`](datasets/karengillan/)** — 22 images (Karen Gillan)
-
----
-
-## 📚 Tutorials & Articles Collection
-
-### 📘 [WAN 2.1 LoRA Training Tutorial](tutorials/wan-21-lora-training.md)
-Complete step-by-step guide on training WAN 2.1 LoRA models using AI Toolkit:
-- Dataset preparation (20 optimal images, 2500 steps)
-- Resolution bucketing & learning rate schedules
-- VRAM management & cloud GPU configurations
-- ComfyUI inference workflow integration
-
-### 📚 [CivitAI Articles Collection](articles.md)
-Curated directory of malcolmrey's published training and generation guides:
-- **[DreamBooth / LyCORIS / LoRA Complete Guide](https://civitai.com/articles/7/dreambooth-lycoris-lora-guide)**
-- **[SDXL LoRA Training on RunPod](https://civitai.com/articles/1591/sdxl-lora-training)**
-- **[Textual Inversion / Embedding Training Guide](https://civitai.com/articles/3114/textual-inversion-embedding-training-guide)**
-- **[Flux Guide, Part I - LoRA Training](https://civitai.com/articles/9360/flux-guide-part-i-lora-training)**
-- **[Improving Results with Multi-Model Blending (Turning it to 11!)](https://civitai.com/articles/1721/improving-results-by-using-multiple-models-of-the-same-concept-turning-it-to-11)**
-- **[Quality Deep Dive (Bringing it up to Twelve!)](https://civitai.com/articles/3527/bringing-it-up-to-twelve-going-deep-into-quality)**
-- **[ADetailer, Inpainting & Facial Restoration Best Practices](https://civitai.com/articles/1633/adetailer-and-a-poll-and-a-few-words-about-roop)**
-
----
+🔗 **Reddit:** http://reddit.com/r/malcolmrey
 
-## 🌐 Connect with malcolmrey
+🤗 **Hugging Face:** https://huggingface.com/malcolmrey
 
-- 💬 **Discord Community:** [malcolmrey's place](https://discord.gg/RjYRPRCqu)
-- ☕ **Support / Priority Requests:** [Buy Me a Coffee](https://buymeacoffee.com/malcolmrey)
-- 🤗 **Hugging Face Hub:** [https://huggingface.co/malcolmrey](https://huggingface.co/malcolmrey)
-- 🔍 **Interactive Model Browser:** [https://huggingface.co/spaces/malcolmrey/browser](https://huggingface.co/spaces/malcolmrey/browser)
-- 🎨 **CivitAI Profile:** [https://civitai.com/user/malcolmrey](https://civitai.com/user/malcolmrey)
-- 💬 **Reddit Community:** [r/malcolmrey](http://reddit.com/r/malcolmrey)
+🎨 **CivitAI:** http://civitai.com/user/malcolmrey

flux2klein9-test/.job_config.json

@@ -0,0 +1,147 @@
+{
+  "job": "extension",
+  "config": {
+    "name": "fk9_adrianalima_v1",
+    "process": [
+      {
+        "type": "diffusion_trainer",
+        "training_folder": "c:\\Development\\ai-toolkit\\output",
+        "sqlite_db_path": "c:\\Development\\ai-toolkit\\aitk_db.db",
+        "device": "cuda",
+        "trigger_word": "sks woman",
+        "performance_log_every": 10,
+        "network": {
+          "type": "lora",
+          "linear": 32,
+          "linear_alpha": 32,
+          "conv": 16,
+          "conv_alpha": 16,
+          "lokr_full_rank": true,
+          "lokr_factor": -1,
+          "network_kwargs": {
+            "ignore_if_contains": []
+          }
+        },
+        "save": {
+          "dtype": "bf16",
+          "save_every": 250,
+          "max_step_saves_to_keep": 25,
+          "save_format": "diffusers",
+          "push_to_hub": false
+        },
+        "datasets": [
+          {
+            "folder_path": "c:\\Development\\ai-toolkit\\datasets/adrianalima",
+            "mask_path": null,
+            "mask_min_value": 0.1,
+            "default_caption": "photo of a woman",
+            "caption_ext": "txt",
+            "caption_dropout_rate": 0.05,
+            "cache_latents_to_disk": false,
+            "is_reg": false,
+            "network_weight": 1,
+            "resolution": [
+              512
+            ],
+            "controls": [],
+            "shrink_video_to_frames": true,
+            "num_frames": 1,
+            "flip_x": false,
+            "flip_y": false,
+            "num_repeats": 1,
+            "control_path_1": null,
+            "control_path_2": null,
+            "control_path_3": null
+          }
+        ],
+        "train": {
+          "batch_size": 1,
+          "bypass_guidance_embedding": false,
+          "steps": 2500,
+          "gradient_accumulation": 1,
+          "train_unet": true,
+          "train_text_encoder": false,
+          "gradient_checkpointing": true,
+          "noise_scheduler": "flowmatch",
+          "optimizer": "adamw8bit",
+          "timestep_type": "weighted",
+          "content_or_style": "balanced",
+          "optimizer_params": {
+            "weight_decay": 0.0001
+          },
+          "unload_text_encoder": true,
+          "cache_text_embeddings": false,
+          "lr": 0.0001,
+          "ema_config": {
+            "use_ema": false,
+            "ema_decay": 0.99
+          },
+          "skip_first_sample": true,
+          "force_first_sample": false,
+          "disable_sampling": true,
+          "dtype": "bf16",
+          "diff_output_preservation": false,
+          "diff_output_preservation_multiplier": 1,
+          "diff_output_preservation_class": "person",
+          "switch_boundary_every": 1,
+          "loss_type": "mse",
+          "do_differential_guidance": true,
+          "differential_guidance_scale": 3
+        },
+        "logging": {
+          "log_every": 1,
+          "use_ui_logger": true
+        },
+        "model": {
+          "name_or_path": "black-forest-labs/FLUX.2-klein-base-9B",
+          "quantize": true,
+          "qtype": "qfloat8",
+          "quantize_te": true,
+          "qtype_te": "qfloat8",
+          "arch": "flux2_klein_9b",
+          "low_vram": true,
+          "model_kwargs": {
+            "match_target_res": false
+          },
+          "layer_offloading": false,
+          "layer_offloading_text_encoder_percent": 1,
+          "layer_offloading_transformer_percent": 1
+        },
+        "sample": {
+          "sampler": "flowmatch",
+          "sample_every": 250,
+          "width": 512,
+          "height": 512,
+          "samples": [
+            {
+              "prompt": "woman with red hair, playing chess at the park, bomb going off in the background"
+            },
+            {
+              "prompt": "a woman holding a coffee cup, in a beanie, sitting at a cafe"
+            },
+            {
+              "prompt": "a womman showing off her cool new t shirt at the beach, a shark is jumping out of the water in the background"
+            },
+            {
+              "prompt": "woman playing the guitar, on stage, singing a song, laser lights, punk rocker"
+            },
+            {
+              "prompt": "photo of a woman, white background, medium shot, modeling clothing, studio lighting, white backdrop"
+            }
+          ],
+          "neg": "",
+          "seed": 42,
+          "walk_seed": true,
+          "guidance_scale": 4,
+          "sample_steps": 25,
+          "num_frames": 1,
+          "fps": 1
+        }
+      }
+    ]
+  },
+  "meta": {
+    "name": "[name]",
+    "version": "1.0"
+  }
+}

flux2klein9-test/config.yaml

@@ -0,0 +1,119 @@
+job: extension
+config:
+  name: fk9_adrianalima_v1
+  process:
+  - type: diffusion_trainer
+    training_folder: c:\Development\ai-toolkit\output
+    sqlite_db_path: c:\Development\ai-toolkit\aitk_db.db
+    device: cuda
+    trigger_word: sks woman
+    performance_log_every: 10
+    network:
+      type: lora
+      linear: 32
+      linear_alpha: 32
+      conv: 16
+      conv_alpha: 16
+      lokr_full_rank: true
+      lokr_factor: -1
+      network_kwargs:
+        ignore_if_contains: []
+    save:
+      dtype: bf16
+      save_every: 250
+      max_step_saves_to_keep: 25
+      save_format: diffusers
+      push_to_hub: false
+    datasets:
+    - folder_path: c:\Development\ai-toolkit\datasets/adrianalima
+      mask_path: null
+      mask_min_value: 0.1
+      default_caption: photo of a woman
+      caption_ext: txt
+      caption_dropout_rate: 0.05
+      cache_latents_to_disk: false
+      is_reg: false
+      network_weight: 1
+      resolution:
+      - 512
+      controls: []
+      shrink_video_to_frames: true
+      num_frames: 1
+      flip_x: false
+      flip_y: false
+      num_repeats: 1
+      control_path_1: null
+      control_path_2: null
+      control_path_3: null
+    train:
+      batch_size: 1
+      bypass_guidance_embedding: false
+      steps: 2500
+      gradient_accumulation: 1
+      train_unet: true
+      train_text_encoder: false
+      gradient_checkpointing: true
+      noise_scheduler: flowmatch
+      optimizer: adamw8bit
+      timestep_type: weighted
+      content_or_style: balanced
+      optimizer_params:
+        weight_decay: 0.0001
+      unload_text_encoder: true
+      cache_text_embeddings: false
+      lr: 0.0001
+      ema_config:
+        use_ema: false
+        ema_decay: 0.99
+      skip_first_sample: true
+      force_first_sample: false
+      disable_sampling: true
+      dtype: bf16
+      diff_output_preservation: false
+      diff_output_preservation_multiplier: 1
+      diff_output_preservation_class: person
+      switch_boundary_every: 1
+      loss_type: mse
+      do_differential_guidance: true
+      differential_guidance_scale: 3
+    logging:
+      log_every: 1
+      use_ui_logger: true
+    model:
+      name_or_path: black-forest-labs/FLUX.2-klein-base-9B
+      quantize: true
+      qtype: qfloat8
+      quantize_te: true
+      qtype_te: qfloat8
+      arch: flux2_klein_9b
+      low_vram: true
+      model_kwargs:
+        match_target_res: false
+      layer_offloading: false
+      layer_offloading_text_encoder_percent: 1
+      layer_offloading_transformer_percent: 1
+    sample:
+      sampler: flowmatch
+      sample_every: 250
+      width: 512
+      height: 512
+      samples:
+      - prompt: woman with red hair, playing chess at the park, bomb going off in
+          the background
+      - prompt: a woman holding a coffee cup, in a beanie, sitting at a cafe
+      - prompt: a womman showing off her cool new t shirt at the beach, a shark is
+          jumping out of the water in the background
+      - prompt: woman playing the guitar, on stage, singing a song, laser lights,
+          punk rocker
+      - prompt: photo of a woman, white background, medium shot, modeling clothing,
+          studio lighting, white backdrop
+      neg: ''
+      seed: 42
+      walk_seed: true
+      guidance_scale: 4
+      sample_steps: 25
+      num_frames: 1
+      fps: 1
+meta:
+  name: fk9_adrianalima_v1
+  version: '1.0'

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