═══════════════════════════════════════════════════════════════════════════════ RAY KREA2 STYLE LORAS ═══════════════════════════════════════════════════════════════════════════════ ─────────────────────────────────────────────────────────────────────────────── IDENTITY ─────────────────────────────────────────────────────────────────────────────── Base model Krea 2 Generation mode not declared by the author Checkpoint not determined — verify before use Category Detail / anatomy fixer Author Ray3780 Source https://civitai.com/models/2802215 Provenance CivitAI · model 2802215 · version 3280920 ─────────────────────────────────────────────────────────────────────────────── WEIGHTS ─────────────────────────────────────────────────────────────────────────────── File Ray Versatile Face v1.safetensors Version Ray Versatile Face Size 223.8 MB Format SafeTensor / unknown precision SHA256 89debcdae181477684af446c8208a39a40612ba2dd4e3e6f53808ecd093e85d2 Published 2026-08-31 ─────────────────────────────────────────────────────────────────────────────── TRIGGER WORDS ─────────────────────────────────────────────────────────────────────────────── No trigger word. The LoRA applies as soon as it is loaded — strength is the only way to dial the effect up or down. ─────────────────────────────────────────────────────────────────────────────── RECOMMENDED SETTINGS ─────────────────────────────────────────────────────────────────────────────── The author did not publish specific settings. No author settings were published. Community baseline: steps Turbo: 8 (official README and HF card CLI example; the ComfyUI template ships 8). Raw: 52 (official README). The krea-2 CLI's generic default is 28. Community Turbo LoRAs commonly suggest 8-12 (e.g. the Identity Edit card recommends Turbo at 8-12, or Raw at 20 for removals). A community 4-step LoRA on Turbo makes 4 valid; its author calls 2 steps an out-of-spec preview mode., cfg Turbo: CFG disabled - guidance_scale 0.0 in diffusers and --cfg 0.0 in the krea-2 CLI, which is cfg 1.0 in ComfyUI's KSampler (the official template ships cfg 1). These are the same thing; do not set ComfyUI cfg to 0. Raw: CFG 3.5 (official README; CLI generic default 4.5). Negative prompting on Turbo is effectively unused - the official templates route ConditioningZeroOut into the negative slot., sampler ComfyUI: KSampler with sampler euler, scheduler simple, denoise 1.0 (verified in image_krea2_turbo_t2i.json: [seed, 'randomize', 8, 1, 'euler', 'simple', 1]). Timestep shift mu = 1.15 for Turbo; ComfyUI bakes this in via Krea2.sampling_settings = {"multiplier": 1.0, "shift": 1.15}, so the plain t2i template needs no ModelSampling node, while the style-reference template adds ModelSamplingFlux at max_shift 1.15 / base_shift 0.5. The CLI exposes --mu 1.15 for Turbo; Raw uses a resolution-derived mu interpolated between --y1 0.5 and --y2 1.15 (ai-toolkit mirrors this as base_shift 0.5 / max_shift 1.15 over image_seq_len 256-6400, exponential time shift)., resolution 1024x1024 default. Turbo: 1K-2K (the official CLI example generates 2048x2048; ComfyUI's ResolutionSelector defaults to 1 megapixel, set 2.0 for 2K). Raw: "trained to generate upto 1k resolution". Width/height are padded up to a multiple of 16., lora_strength 1.0 for Krea's nine official style LoRAs (docs.comfy.org lists Recommended Strength 1.0 for every one), though the shipped t2i template's LoraLoaderModelOnly is set to 0.8. The style-reference LoRA is used at 1.0 in its template. The 4-step distill LoRA documents 1.0 as its trained point, 1.0-1.5 as coherent extrapolation and above ~1.5 as speckle artefacting. Community subject LoRAs are typically recommended around 0.8-1.2 and dropped toward 0.6-0.9 when several are stacked.. ─────────────────────────────────────────────────────────────────────────────── ADOPTION & POPULARITY ─────────────────────────────────────────────────────────────────────────────── Downloads 7,530 Rating 100% positive (337/337) Comments 17 Published 5 days ago Download rate 66.9/day since release Adoption rank #77 of 150 in this collection (Modest) Momentum rank #41 of 150 by download rate (Steady · fresh release) Adoption tier is the percentile of total downloads within this collection; momentum is the percentile of downloads-per-day since release. Momentum is ranked rather than measured against a fixed rate, because this base model is itself new and every LoRA looks fast on an absolute scale. Both numbers are CivitAI's, read on the scrape date at the foot of this file. ─────────────────────────────────────────────────────────────────────────────── CHAINING / STACKING ─────────────────────────────────────────────────────────────────────────────── Stacks with others not stated The author gave no chaining guidance. The rules below are the general Krea 2 ones, not anything specific to this LoRA. General Krea 2 rules that apply here (see REFERENCE.txt): • The most important rule is not about chaining but about which checkpoint you chain onto: the official README says in bold "TRAIN on Raw and RUN on Turbo", and "We highly recommend using RAW for training LoRAs and applying them on Turbo for inference." LoRAs trained on Raw are stated to work well on Turbo. • Chain with LoraLoaderModelOnly nodes in series (model -> model). Krea 2 LoRAs are DiT-only, so there is no CLIP side to chain and the text- encoder branch stays untouched however many LoRAs you add. • Krea 2 LoRAs stack in practice and the community treats multi-LoRA as routine - style + character, style + slider, realism + character. Several CivitAI Krea 2 authors state their LoRAs stack cleanly; one writes "I recently stacked over 20 of my own LoRAs on a single generation and the output still came out great." • Reduce per-LoRA strength when stacking. CivitAI Krea 2 authors converge on dropping from ~1.0 to roughly 0.6-0.9 once more than one adapter is loaded. The CivitAI 12GB training guide also notes rank affects composability: "rank 8 produced a lighter style influence that was easier to stack with other LoRAs, rank 16 provided a useful balance between concept strength and composability, and rank 32 was better suited to a precise object or concept intended to take priority over other stacked LoRAs." • Accelerator LoRAs are position-sensitive in intent, not in node order: a Raw-to-Turbo delta adapter belongs on the Raw checkpoint, a sub-8-step LoRA belongs on Turbo (or on Raw already carrying a Raw-to- Turbo adapter). Chaining Raw -> Raw-to-Turbo adapter -> 4-step LoRA is explicitly recommended by the 4-step LoRA's author. • Whatever you stack, the schedule must stay Turbo's: cfg 1.0 in ComfyUI (guidance 0.0 in diffusers) and mu/shift 1.15. The 4-step LoRA's card says "Keep mu = 1.15. The training targets are anchored to that grid; a different shift moves the [sampler off them]"; the same reasoning applies to any Turbo-trained adapter in the chain. • Reference/edit LoRAs are designed to be stacked under ordinary subject and style LoRAs - the Identity Edit card states "Composes with your LoRAs: character/body/style LoRAs stack on top and steer the prior" and recommends a stacked subject LoRA when unusual subjects drift toward the base prior. • Krea 2 LoRAs cannot be chained with LoRAs for any other base model. Many CivitAI pages carry multi-model titles like "(Krea-2 + ZIT)" or "[Flux | ZIB | Krea2]" - those are separate files for separate architectures shipped under one model page, not a combined adapter. • To combine two full Krea 2 checkpoints rather than adapters, ComfyUI ships a dedicated ModelMergeKrea2 node (added in v0.27.0) with per- section weights for first., tmlp., txtmlp., tproj., txtfusion.projector, txtfusion.layerwise_blocks.0-1, txtfusion.refiner_blocks.0-1, blocks.0-27 and last. • The author never states which weight family this targets. Silent degradation, never a hard error, between Raw and Turbo. The two share one architecture - ai-toolkit's config is commented "The reference 'single_mmdit_large_wide' architecture (oss_raw / oss_turbo share it)" - so every LoRA tensor shape matches on both and ComfyUI/diffuser ─────────────────────────────────────────────────────────────────────────────── PROS ─────────────────────────────────────────────────────────────────────────────── + Widely adopted — 7,530 downloads. [source: CivitAI stats] + Positively received — 337 thumbs-up with no down-votes. [source: CivitAI stats] + Compact at 224 MB — cheap to stack with other LoRAs. [source: file size] ─────────────────────────────────────────────────────────────────────────────── CONS & CAVEATS ─────────────────────────────────────────────────────────────────────────────── - Author references NSFW output — review before using in shared work. [source: description] - No trigger word — the LoRA is always on once loaded, so strength is the only control. [source: model metadata] - Author never states which generation mode it was trained for; test against your own workflow before relying on it. [source: description] ─────────────────────────────────────────────────────────────────────────────── COMPATIBILITY WARNING ─────────────────────────────────────────────────────────────────────────────── Silent degradation, never a hard error, between Raw and Turbo. The two share one architecture - ai-toolkit's config is commented "The reference 'single_mmdit_large_wide' architecture (oss_raw / oss_turbo share it)" - so every LoRA tensor shape matches on both and ComfyUI/diffusers will load an adapter against either without complaint. The lvladikov 4-step LoRA card states this for the reverse direction: "Every layer it targets also exists in Krea 2 Raw, so it will load there without complaint - but that is a side effect of the shared architecture, not a supported mode", and reports mixed, subject-dependent results with malformed subjects (duplicated heads, fused limbs) at low step counts, needing 14+ steps with Raw's CFG on before output is coherent. The intended direction (train on Raw, run on Turbo) is officially blessed. The more common practical failure is a settings mismatch rather than a weight mismatch: running a Turbo-targeted LoRA at Raw's 52 steps + CFG 3.5, or leaving CFG enabled on Turbo, degrades output with no warning. Loading a Krea 2 LoRA against a different model family entirely (Flux, Qwen-Image, Z-Image) is also not an error - ComfyUI logs "lora key not loaded: {key}" per key and generates as if no LoRA were applied. ─────────────────────────────────────────────────────────────────────────────── AUTHOR'S DESCRIPTION ─────────────────────────────────────────────────────────────────────────────── Ray Versatile Face： This design aims to enhance the facial features of Asian women, making them more diverse. If you're tired of the typical "Instagram face" or pretty young women, try looking at Asian women with personality and international flair. 用于强化亚裔女性的脸，使其更加多样性。看够了网红脸或者漂亮的年轻女性，也可以试试有个性和国际化的亚裔女性。 Ray Surreal Style: Surrealism, visuals, atmosphere, and aesthetics. 超现实主义、视觉、氛围、美学。 Ray Niji style: Niji6 style, semi-realistic style, illustration style niji6风格，半写实风格，插画风格 Ray Lotus Blossoms： yes, you read that right, 0.15-0.8. 是的，你没看错就是0.15-0.8。 It enhances East Asian women, stabilizes limbs, and influences all styles. The raw image results are very similar to those from ZImage. 增强东亚女性，稳定肢体，影响所有风格。生图结果和zimage很相似。 Ray Skin detail krea2 v1： Used to enhance skin details, with NSFW correction capabilities. 用于提升皮肤细节, 含nsfw修正能力。 Pantyhose fix krea2 v1： Krea2 had a problem confusing terms like pantyhose, stockings, thigh-high stockings, and socks, so I trained this Lora to solve that. Now you can describe your stockings and pantyhose in more detail, including: thin, thick, semi-sheer, vertical stripes, horizontal stripes, glossy, matte, shiny, up to the waist, elastic waistband, center seam, shaping, reinforced toes, and some other terms not listed or that I don't understand. You can try them out too. krea2有个问题，会把连裤袜，丝袜，大腿袜，袜子，这些词搞混，所以我训练了这个lora来解决这个问题。你现在可以更详细的描述你的丝袜和连裤袜了，包括 了：薄的，厚的，半透明，竖条纹，横条纹，亮面，哑光，闪亮，至腰部，弹性腰带，中缝，塑性，加固脚趾，还有一些没列举或者我不懂的术语你也可以试试。 Photography style krea2 v1： It influences a wide range of styles without a specific specialty, serving primarily to enhance the visual impact of the image. Starting your prompt with "This highly visually striking, high-contrast poster," will yield results closer to the "Ray Artshoot ZIB" style. 影响的风格较多，无特长，仅增强画面，提示词开头以："This highly visually striking, high-contrast poster,"，效果会更接近于Ray Artshoot ZIB。 No trigger keywords，无触发词，weight权重0.4-1.2，recommended推荐：1 cinematic film style krea2 v1： Kodak Vision3 250D cinematic film style; Leica-esque aesthetic. Tailored to Asian tastes, with East Asian enhancements and Chinese elements. Kodak Vision3 250D 电影胶片风格，徕卡风格。符合亚洲审美，东亚强化，中国元素。 No trigger keywords，无触发词，weight权重0.4-1.2 Hisoul style krea2 v1： Higgsfield Soul Style, very artistic, Its unique character is used to enhance realism and aesthetics. Higgsfield Soul风格，气质非常独特，用于增加真人感和增强美学。 No trigger keywords，无触发词，weight权重0.4-1.2 Fujifilm style krea2 v1： Japanese film photography style, enhanced for Asian subjects, Japanese elements. Increases realism and stylization. 日系胶片摄影风格，亚裔强化，日本元素。增加真实感和风格化。 No trigger keywords，无触发词，weight权重0.5-1.2 TensorArt review process is becoming increasingly strict, Therefore, I will gradually move my new models to civitai and seeart. Reproduction is permitted, but please indicate the source. Thank you for your attention. Tensorart 的审核日益严格，所以我会把我的新模型陆续搬到civitai和seeart。可以转载，转载请注明出处。感谢关注。 For online use, please visit TensorArt | Seaart 如需在线使用可以到 TenserArt | Seaart ─────────────────────────────────────────────────────────────────────────────── VERSION NOTES ─────────────────────────────────────────────────────────────────────────────── No trigger keywords，无触发词，weight, 权重：0.5-1.2 ─────────────────────────────────────────────────────────────────────────────── EXAMPLE MEDIA ─────────────────────────────────────────────────────────────────────────────── 6 preview(s) in ./example_images/ — community results for this LoRA. Videos keep a matching _poster.jpg still frame. No prompts are recorded below: CivitAI's public API flags these posts as having generation metadata but does not return it, so the prompts cannot be scraped. Open the model page to read them. 01_image.jpeg (image, 1024x1536) 02_image.jpeg (image, 1024x1536) 03_image.jpeg (image, 1024x1536) 04_image.jpeg (image, 1024x1536) 05_image.jpeg (image, 1024x1536) 06_image.jpeg (image, 1024x1536) ─────────────────────────────────────────────────────────────────────────────── HOW TO USE (COMFYUI) ─────────────────────────────────────────────────────────────────────────────── 1. Update ComfyUI to at least v0.26.0 (released 2026-06-23), which added local Krea2 support. For reference-image / style-reference / edit LoRAs you need at least v0.29.0 (2026-07-29), which added regular and timestep-zero reference images for Krea 2. ModelMergeKrea2 arrived in v0.27.0 (2026-06-30). 2. Put the base stack in place (files from huggingface.co/Comfy-Org/Krea-2, which is not gated): - ComfyUI/models/diffusion_models/krea2_turbo_fp8_scaled.safetensors (documented recommended default; the repo also holds krea2_turbo_bf16, _int8_convrot, _mxfp8, _nvfp4 and krea2_raw_bf16 / _fp8_scaled / _int8_convrot) - ComfyUI/models/text_encoders/qwen3vl_4b_fp8_scaled.safetensors (bf16 also available) - ComfyUI/models/vae/qwen_image_vae.safetensors 3. Put the LoRA .safetensors in ComfyUI/models/loras/ - flat, no per-model subfolder required. 4. Build or load the graph. The official image_krea2_turbo_t2i.json template is: UNETLoader (krea2_turbo_fp8_scaled.safetensors) -> LoraLoaderModelOnly -> KSampler; CLIPLoader (qwen3vl_4b_fp8_scaled.safetensors, type "krea2") -> text encode -> KSampler positive, with ConditioningZeroOut into negative; VAELoader (qwen_image_vae.safetensors) -> VAEDecode -> SaveImage; EmptyLatentImage 1024x1024 driven by ResolutionSelector. An int8 sibling template (image_krea2_turbo_t2i_int8.json) also ships. 5. Load the LoRA with LoraLoaderModelOnly, not LoraLoader - both official templates do. Krea 2 LoRAs patch the DiT only; note that the DiT's own text_fusion / txtfusion blocks are a normal LoRA target (the official style LoRAs patch them), but the Qwen3-VL text encoder itself is not. Set strength 1.0 for Krea's official style LoRAs (the shipped template uses 0.8) and add the LoRA's trigger word to the prompt. 6. Sampler settings: steps 8, cfg 1, sampler euler, scheduler simple, denoise 1.0. Do not add a ModelSampling node for plain t2i - ComfyUI already applies shift 1.15 from Krea2.sampling_settings. 7. For style reference, use the dedicated template: UNETLoader krea2_turbo_int8_convrot.safetensors, LoraLoaderModelOnly krea2_style_reference.safetensors at 1.0, ModelSamplingFlux (1.15, 0.5), TextEncodeQwenImageEditPlus fed by LoadImage, FluxKontextMultiReferenceLatentMethod set to index_timestep_zero, and SamplerCustomAdvanced with KSamplerSelect euler + BasicScheduler simple/8 + CFGGuider cfg 1. 8. For instruction editing (Krea 2 Identity Edit), stock nodes are not enough: install the ComfyUI-Krea2Edit node pack, which ships its own workflows, and run Turbo at 8-12 steps / cfg 1 (or Raw at 20 steps / cfg 3 for removals) with LoRA strength 1.0. 9. Low-VRAM alternative: install city96's ComfyUI-GGUF and use a community GGUF build (realrebelai/KREA-2_GGUFs, quantized from Turbo; molbal/krea2-gguf, quantized from Raw) with the Unet Loader (GGUF) node in place of UNETLoader. There is no official GGUF release. LoRA loading is unchanged. ─────────────────────────────────────────────────────────────────────────────── Scraped by lorakit on 2026-09-05 00:16 UTC. Stats and description are the author's; pros/cons are derived from the evidence tagged beside each line. ───────────────────────────────────────────────────────────────────────────────