Alex995647

Add 25 LoRA(s): qwen-edit-figure-maker-by-aldniki, pixelartredmond-pixel-art-loras, movie-poster-ce, clothes-try-on-clothing-transfer-qwen-edit…

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═══════════════════════════════════════════════════════════════════════════════
  HYPERDETAILED ILLUSTRATION
═══════════════════════════════════════════════════════════════════════════════

───────────────────────────────────────────────────────────────────────────────
  IDENTITY
───────────────────────────────────────────────────────────────────────────────
  Base model        Qwen-Image
  Generation mode   not declared by the author
  Checkpoint        not determined — verify before use
  Category          Detail / anatomy fixer
  Author            ArsMachina
  Source            https://civitai.com/models/1272455
  Provenance        CivitAI · model 1272455 · version 2178089

───────────────────────────────────────────────────────────────────────────────
  WEIGHTS
───────────────────────────────────────────────────────────────────────────────
  File              HyperdetailedillustrationQwen.safetensors
  Version           Qwen
  Size              281.5 MB
  Format            SafeTensor / unknown precision
  SHA256            e83abb49e5c656f6dcde73e939147389ee9a36b035622f43b184d4ea3c8c433b
  Published         2025-09-22

───────────────────────────────────────────────────────────────────────────────
  TRIGGER WORDS
───────────────────────────────────────────────────────────────────────────────
  › "ArsMJStyle, HyperDetailed Illustration"

───────────────────────────────────────────────────────────────────────────────
  RECOMMENDED SETTINGS
───────────────────────────────────────────────────────────────────────────────
  Taken verbatim from the author's description:

  Sampler steps       8

───────────────────────────────────────────────────────────────────────────────
  ADOPTION & POPULARITY
───────────────────────────────────────────────────────────────────────────────
  Downloads               10,212
  Rating                  100% positive (807/807)
  Comments                0
  Published               347 days ago
  Download rate           2.9/day since release

  Adoption rank           #30 of 150 in this collection  (High)
  Momentum rank           #69 of 150 by download rate  (Steady)

  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 Qwen-Image ones, not anything specific to this LoRA.

  General Qwen-Image rules that apply here (see REFERENCE.txt):

  • 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.
  • 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.
  • 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.
  • 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.
  • 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).
  • 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.
  • 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.
  • 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.
  • 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

───────────────────────────────────────────────────────────────────────────────
  PROS
───────────────────────────────────────────────────────────────────────────────
  + Widely adopted — 10,212 downloads. [source: CivitAI stats]
  + Positively received — 807 thumbs-up with no down-votes. [source:
    CivitAI stats]
  + Explicit trigger word(s) — ArsMJStyle, HyperDetailed Illustration — so
    the effect can be turned on and off from the prompt. [source: model
    metadata]
  + Compact at 281 MB — cheap to stack with other LoRAs. [source: file
    size]
  + Author published concrete recommended settings. [source: description]

───────────────────────────────────────────────────────────────────────────────
  CONS & CAVEATS
───────────────────────────────────────────────────────────────────────────────
  - Author never states which generation mode it was trained for; test
    against your own workflow before relying on it. [source: description]

───────────────────────────────────────────────────────────────────────────────
  COMPATIBILITY WARNING
───────────────────────────────────────────────────────────────────────────────
  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.

───────────────────────────────────────────────────────────────────────────────
  AUTHOR'S DESCRIPTION
───────────────────────────────────────────────────────────────────────────────
  This LoRA is trained on a hyper-detailed fantasy illustration style
  blending anime aesthetics with Japanese woodcut influences, intricate
  realism, and vibrant compositions.

───────────────────────────────────────────────────────────────────────────────
  VERSION NOTES
───────────────────────────────────────────────────────────────────────────────
  This is one of the first Qwen LoRAs I am releasing here on civit and is
  trained in AI Toolkit (default setting in Q6). The LoRAs has some Artifacts
  present due to the Quantized training , so I would recommend either: 1.
  Start with lower strenght ~0.8
  2. Use it with lighting 4/8 steps LoRA

───────────────────────────────────────────────────────────────────────────────
  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, 1664x2432)
  02_image.jpeg  (image, 1328x1328)
  03_image.jpeg  (image, 1328x1328)
  04_image.jpeg  (image, 600x900)
  05_image.jpeg  (image, 1328x1328)
  06_image.jpeg  (image, 1328x1328)

───────────────────────────────────────────────────────────────────────────────
  HOW TO USE (COMFYUI)
───────────────────────────────────────────────────────────────────────────────
  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.

───────────────────────────────────────────────────────────────────────────────
  Scraped by lorakit on 2026-09-05 00:56 UTC.
  Stats and description are the author's; pros/cons are derived from the
  evidence tagged beside each line.
───────────────────────────────────────────────────────────────────────────────

	═══════════════════════════════════════════════════════════════════════════════
	HYPERDETAILED ILLUSTRATION
	═══════════════════════════════════════════════════════════════════════════════

	───────────────────────────────────────────────────────────────────────────────
	IDENTITY
	───────────────────────────────────────────────────────────────────────────────
	Base model Qwen-Image
	Generation mode not declared by the author
	Checkpoint not determined — verify before use
	Category Detail / anatomy fixer
	Author ArsMachina
	Source https://civitai.com/models/1272455
	Provenance CivitAI · model 1272455 · version 2178089

	───────────────────────────────────────────────────────────────────────────────
	WEIGHTS
	───────────────────────────────────────────────────────────────────────────────
	File HyperdetailedillustrationQwen.safetensors
	Version Qwen
	Size 281.5 MB
	Format SafeTensor / unknown precision
	SHA256 e83abb49e5c656f6dcde73e939147389ee9a36b035622f43b184d4ea3c8c433b
	Published 2025-09-22

	───────────────────────────────────────────────────────────────────────────────
	TRIGGER WORDS
	───────────────────────────────────────────────────────────────────────────────
	› "ArsMJStyle, HyperDetailed Illustration"

	───────────────────────────────────────────────────────────────────────────────
	RECOMMENDED SETTINGS
	───────────────────────────────────────────────────────────────────────────────
	Taken verbatim from the author's description:

	Sampler steps 8

	───────────────────────────────────────────────────────────────────────────────
	ADOPTION & POPULARITY
	───────────────────────────────────────────────────────────────────────────────
	Downloads 10,212
	Rating 100% positive (807/807)
	Comments 0
	Published 347 days ago
	Download rate 2.9/day since release

	Adoption rank #30 of 150 in this collection (High)
	Momentum rank #69 of 150 by download rate (Steady)

	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 Qwen-Image ones, not anything specific to this LoRA.

	General Qwen-Image rules that apply here (see REFERENCE.txt):

	• 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.
	• 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.
	• 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.
	• 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.
	• 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).
	• 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.
	• 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.
	• 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.
	• 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

	───────────────────────────────────────────────────────────────────────────────
	PROS
	───────────────────────────────────────────────────────────────────────────────
	+ Widely adopted — 10,212 downloads. [source: CivitAI stats]
	+ Positively received — 807 thumbs-up with no down-votes. [source:
	CivitAI stats]
	+ Explicit trigger word(s) — ArsMJStyle, HyperDetailed Illustration — so
	the effect can be turned on and off from the prompt. [source: model
	metadata]
	+ Compact at 281 MB — cheap to stack with other LoRAs. [source: file
	size]
	+ Author published concrete recommended settings. [source: description]

	───────────────────────────────────────────────────────────────────────────────
	CONS & CAVEATS
	───────────────────────────────────────────────────────────────────────────────
	- Author never states which generation mode it was trained for; test
	against your own workflow before relying on it. [source: description]

	───────────────────────────────────────────────────────────────────────────────
	COMPATIBILITY WARNING
	───────────────────────────────────────────────────────────────────────────────
	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.

	───────────────────────────────────────────────────────────────────────────────
	AUTHOR'S DESCRIPTION
	───────────────────────────────────────────────────────────────────────────────
	This LoRA is trained on a hyper-detailed fantasy illustration style
	blending anime aesthetics with Japanese woodcut influences, intricate
	realism, and vibrant compositions.

	───────────────────────────────────────────────────────────────────────────────
	VERSION NOTES
	───────────────────────────────────────────────────────────────────────────────
	This is one of the first Qwen LoRAs I am releasing here on civit and is
	trained in AI Toolkit (default setting in Q6). The LoRAs has some Artifacts
	present due to the Quantized training , so I would recommend either: 1.
	Start with lower strenght ~0.8
	2. Use it with lighting 4/8 steps LoRA

	───────────────────────────────────────────────────────────────────────────────
	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, 1664x2432)
	02_image.jpeg (image, 1328x1328)
	03_image.jpeg (image, 1328x1328)
	04_image.jpeg (image, 600x900)
	05_image.jpeg (image, 1328x1328)
	06_image.jpeg (image, 1328x1328)

	───────────────────────────────────────────────────────────────────────────────
	HOW TO USE (COMFYUI)
	───────────────────────────────────────────────────────────────────────────────
	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.

	───────────────────────────────────────────────────────────────────────────────
	Scraped by lorakit on 2026-09-05 00:56 UTC.
	Stats and description are the author's; pros/cons are derived from the
	evidence tagged beside each line.
	───────────────────────────────────────────────────────────────────────────────