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Add 25 LoRA(s): da-vinci-drawing-style-ce, krea2-qwen2511-z-image-illustria-anime-01, put-it-here-qwenedit-v2-0-full-functional-enhancements, manga-style-naoki-urasawaโ€ฆ
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โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
REALITY SIMULATOR
โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
IDENTITY
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
Base model Qwen-Image
Generation mode not declared by the author
Checkpoint not determined โ€” verify before use
Category Photorealism
Author vjleoliu
Source https://civitai.com/models/1886273
Provenance CivitAI ยท model 1886273 ยท version 2171888
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
WEIGHTS
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
File iphone.safetensors
Version v2.0
Size 562.7 MB
Format SafeTensor / unknown precision
SHA256 06feb3e6ab4b996bd4e00978da9da4cb138c5c25bb2c947df555c0d18d099598
Published 2025-09-01
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
TRIGGER WORDS
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
No trigger word. The LoRA applies as soon as it is loaded โ€”
strength is the only way to dial the effect up or down.
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
RECOMMENDED SETTINGS
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
Taken verbatim from the author's description:
LoRA strength 0.6โ€“1.5
Sampler steps 4โ€“8
Sampler euler
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
ADOPTION & POPULARITY
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
Downloads 7,037
Rating 99% positive (397/400)
Comments 16
Published 368 days ago
Download rate 14.4/day since release
Adoption rank #47 of 150 in this collection (Moderate)
Momentum rank #24 of 150 by download rate (Trending)
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.
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
CHAINING / STACKING
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
Stacks with others not stated
The author gave no chaining guidance. The rules below are the
general Qwen-Image ones, not anything specific to this LoRA.
General Qwen-Image rules that apply here (see REFERENCE.txt):
โ€ข Stack by wiring LoraLoaderModelOnly nodes in series on the MODEL line.
This is the officially shipped pattern:
template_qwen_Image_2512_360_lora chains Qwen-
Image-2512-Lightning-4steps-V1.0-fp32 at 1.0 into
qwen-360-diffusion-2512-int8-bf16-v2 at 1.0.
โ€ข One accelerator LoRA maximum. Every official template loads exactly one
Lightning/Turbo LoRA, and ComfyUI's Qwen-Image docs record that the
fully-distilled checkpoint and the lightx2v 8-step LoRA are not usable
together.
โ€ข Match the accelerator to the checkpoint family: Qwen-
Image-2512-Lightning on 2512, Qwen-Image-Lightning on the August base,
the Edit-2509 subfolder LoRAs on Edit-2509, Qwen-Image-
Edit-2511-Lightning on Edit-2511. lightx2v distilled and shipped these
separately per family.
โ€ข When any accelerator LoRA is in the chain, move the sampler to that
LoRA's step count and cfg 1.0. Leaving cfg at 4.0 with a distilled LoRA
is the most common bad-output cause.
โ€ข Order used by the official templates: accelerator LoRA adjacent to the
base loader, concept/style LoRA after it, then ModelSamplingAuraFlow,
then the sampler (the 360-panorama template's exact order).
โ€ข Keep the summed strength of concept/style LoRAs roughly in the 0.9-1.2
band (CivitAI article 18798). The accelerator LoRA sits outside that
budget at its own 1.0.
โ€ข Control LoRAs (qwen_image_union_diffsynth_lora.safetensors) chain like
ordinary LoRAs and combine with an accelerator: the official 'Qwen-
Image Union Control' template stacks the control LoRA with Qwen-Image-
Lightning-4steps-V1.0, both at 1.0, sampling at 4 steps / cfg 1.0 /
shift 3.1.
โ€ข Be conservative stacking older Edit LoRAs on Edit-2511: the Qwen README
says community LoRA effects were merged into the 2511 base, so those
LoRAs can double-apply.
โ€ข The author never states which weight family this targets. Mismatch is
silent degradation, essentially never a hard error. Every Qwen-Image
weight family resolves to the same ComfyUI model class
(comfy.model_base.QwenImage, unet_config image_model "qwen_image",
latent_format Wan21, built-in sampling shift 1.15 -
comfy/supported_models.py
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
PROS
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
+ Widely adopted โ€” 7,037 downloads. [source: CivitAI stats]
+ Positively received โ€” 397 thumbs-up, 3 down. [source: CivitAI stats]
+ Author published concrete recommended settings. [source: description]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
CONS & CAVEATS
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
- No trigger word โ€” 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]
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
COMPATIBILITY WARNING
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
Mismatch is silent degradation, essentially never a hard error. Every Qwen-
Image weight family resolves to the same ComfyUI model class
(comfy.model_base.QwenImage, unet_config image_model "qwen_image",
latent_format Wan21, built-in sampling shift 1.15 -
comfy/supported_models.py), and the bf16/fp8 file sizes are identical
across Qwen-Image, Qwen-Image-2512, Qwen-Image-Edit, Edit-2509 and
Edit-2511. So a LoRA trained on any of them will key-match and load against
any other. Where keys genuinely do not match, ComfyUI only logs `lora key
not loaded: <key>` (comfy/lora.py:93) and continues; a shape mismatch logs
`WARNING SHAPE MISMATCH <key> WEIGHT NOT MERGED` (comfy/lora.py:498) and
skips that tensor. Both are console warnings; the render still completes.
Verified consequence: lightx2v re-distilled and re-released Lightning
weights separately for Qwen-Image, Qwen-Image-Edit, Edit-2509, Edit-2511
and Qwen-Image-2512, so accelerators are family- specific in practice. The
one documented case worse than mild degradation is precision-level, not
family-level: bf16-trained LoRAs on the naive
qwen_image_fp8_e4m3fn.safetensors base produce grid artifacts, stated
outright in the ModelTC/Qwen-Image-Lightning README. Whether an Edit LoRA
on the T2I base merely no-ops (no ref_latents conditioning is supplied) or
a T2I LoRA on an Edit checkpoint transfers as a style push is inference
from the architecture, not a sourced statement - see unverified.
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
AUTHOR'S DESCRIPTION
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
This model is specifically designed to simulate the real world. Photos
taken by smartphones are carefully selected as the training set, enabling
the model to have a better real - life texture. The LoRA weight of Qwen-
image can be increased to 2, but it is recommended not to exceed 1.8. The
initialization can start from 0.6, and generally, a value between 0.9 and
1.2 works well. The following is a set of image comparisons.
Parameter Recommendations
- Recommended Weight : 0.6 - 1.5 (default 0.9)
- Recommended Size : 768/1024/1536 (default 1024)
- Sampling Algorithm : 3.0 - 3.5 (default 3.5)
- Step : 20 - 40 (With the acceleration model, it can be reduced to 4 - 8
steps)
- Sampler : euler/heun
Cover Prompt Examples: ไปŽไพง้ขๆ‹ๆ‘„๏ผŒไธ€ไฝไบšๆดฒๅฅณๆ€งๅๅœจ็”ตๅฝฑ้™ข็š„็บข่‰ฒๅบงๆค…ไธŠ๏ผŒๅฅน่ฝฌๅคดๅพฎ็ฌ‘็€็œ‹ๅ‘้•œๅคด๏ผŒ็ฉฟ็€้ป‘่‰ฒ็šฎๅคนๅ…‹๏ผŒ้•ฟๅ‘ๆŠซ่‚ฉ๏ผŒ็•ฅๅธฆๅทๆ›ฒ
ใ€‚ๅฅนๅณๆ‰‹ๆ‹ฟ็€ไธ€ไธชๅคงๅท็š„็บธๆฏ๏ผŒๆฏ่บซๅฐๆœ‰็บข่‰ฒๅ’Œ็™ฝ่‰ฒๅ›พๆกˆ๏ผŒๆฏไธญๆ’็€ไธ€ๆ นๅธ็ฎก๏ผŒๅฅนๆญฃ็”จๅธ็ฎกๅ–็€้ฅฎๆ–™ใ€‚ๅทฆๆ‰‹ๆ‹ฟ็€ไธ€ๅ—้ฃŸ็‰ฉ๏ผŒ็œ‹่ตทๆฅๅƒๆ˜ฏไธ€ไธชๅŒ…่ฃนๅœจ็บธๅทพ้‡Œ็š„ไธ‰ๆ˜Žๆฒปๆˆ–ๆฑ‰ๅ ก๏ผŒ
ๆญฃๅ‡†ๅค‡ๅƒใ€‚
่ƒŒๆ™ฏๆ˜ฏๆ˜ๆš—็š„็”ตๅฝฑ้™ขๅ†…้ƒจ๏ผŒๅทจๅคง็š„็”ตๅฝฑๅน•ๅธƒไธŠๅ‘ˆ็Žฐๅ‡บๆ ‡้ข˜โ€œReality Simulatorโ€๏ผŒไธŠๆ–นๆœ‰ๅพฎๅผฑ็š„็ฏๅ…‰๏ผŒๅคฉ่ŠฑๆฟไธŠๆœ‰ไธ€ไบ›ๅ…‰ๆ–‘๏ผŒๅฏ่ƒฝๆ˜ฏๆ”พๆ˜ ๆ—ถ็š„ๅๅ…‰ๆˆ–็ฏ
ๅ…‰ๆ•ˆๆžœใ€‚ๅ‘จๅ›ด็š„ๅบงๆค…้ƒฝๆ˜ฏๆทฑ็บข่‰ฒ็š„๏ผŒๅ‘ˆๅผงๅฝขๆŽ’ๅˆ—๏ผŒ่ฅ้€ ๅ‡บไธ€็งๅฎ‰้™ใ€็งๅฏ†็š„่ง‚ๅฝฑๆฐ›ๅ›ดใ€‚
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โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
VERSION NOTES
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
The exclusive PLUS-version of LORA is re-optimized and trained based on the
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and WORKFLOWs.
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
EXAMPLE MEDIA
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
6 preview(s) in ./example_images/ โ€” 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, 1140x1472)
02_image.jpeg (image, 1024x1280)
03_image.jpeg (image, 1328x1328)
04_image.jpeg (image, 1328x1328)
05_image.jpeg (image, 1140x1472)
06_image.jpeg (image, 1140x1472)
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HOW TO USE (COMFYUI)
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€
1. Update ComfyUI first - Qwen-Image support is native, but each new family
member (Edit-2509, Edit-2511, 2512) needed a fresh release, so an old build
will not detect the checkpoint.
2. Put the base checkpoint in `ComfyUI/models/diffusion_models/` - e.g.
`qwen_image_2512_fp8_e4m3fn.safetensors` (20.43 GB, the file the official
2512 template names) or `qwen_image_2512_bf16.safetensors` (40.86 GB), from
huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/split_files/diffusion_models.
Edit checkpoints come from Comfy-Org/Qwen-Image-Edit_ComfyUI. Load with
`Load Diffusion Model` (UNETLoader), not a checkpoint loader - these are
unet-only files.
3. Put `qwen_2.5_vl_7b_fp8_scaled.safetensors` (9.38 GB) in
`ComfyUI/models/text_encoders/` and load with `Load CLIP` (CLIPLoader),
type `qwen_image`. Every official template uses exactly this pair.
4. Put `qwen_image_vae.safetensors` in `ComfyUI/models/vae/` and load with
`Load VAE`.
5. Put LoRA `.safetensors` in `ComfyUI/models/loras/`. Subfolders show up
as `subfolder/name.safetensors` in the dropdown - useful for separating t2i
/ edit / accelerator LoRAs.
6. Load with `LoraLoaderModelOnly`, patching only the MODEL line between
the UNETLoader and ModelSamplingAuraFlow. Every official Comfy-Org Qwen
template uses LoraLoaderModelOnly; the two-output `LoraLoader` also works
but its CLIP branch is a no-op for DiT-only LoRAs.
7. Insert `ModelSamplingAuraFlow` after the LoRA chain. Use 3.1 for T2I and
Edit-2511, 3.0 for the 2-step Turbo and Edit-2509 templates. Without this
node ComfyUI uses the model's built-in shift of 1.15 and results differ
from every published example.
8. Set KSampler to euler / simple / denoise 1.0, then steps+cfg per the
accelerator (50/4.0 plain, 8/1.0 or 4/1.0 with Lightning, 2/1.0 with the
2-step Turbo). Latent from `EmptySD3LatentImage` at an official resolution.
9. Low-VRAM alternative: the `ComfyUI-GGUF` custom node with `Unet Loader
(GGUF)` and a Qwen-Image/2512 GGUF (unsloth/Qwen-Image-2512-GGUF). LoRA
loading still goes through LoraLoaderModelOnly, placed after the GGUF
loader.
10. For Edit workflows, swap CLIPTextEncode for `TextEncodeQwenImageEdit`
(single image) or `TextEncodeQwenImageEditPlus` (2509/2511) and add a
`CFGNorm` node as the Edit-2511 template does; the LoRA chain sits in the
same place.
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Scraped by lorakit on 2026-09-05 00:58 UTC.
Stats and description are the author's; pros/cons are derived from the
evidence tagged beside each line.
โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€