| ═══════════════════════════════════════════════════════════════════════════════ |
| DELICATE WHIMSY |
| ═══════════════════════════════════════════════════════════════════════════════ |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| IDENTITY |
| ─────────────────────────────────────────────────────────────────────────────── |
| Base model Ideogram 4 |
| Generation mode Color palette conditioning |
| Checkpoint not determined — verify before use |
| Category Visual style |
| Author ArsMachina |
| Source https://civitai.com/models/1124747 |
| Provenance CivitAI · model 1124747 · version 3075630 |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| WEIGHTS |
| ─────────────────────────────────────────────────────────────────────────────── |
| File DelicateWhimsyideogram4.safetensors |
| Version Ideogram |
| Size 201.9 MB |
| Format SafeTensor / unknown precision |
| SHA256 8ad1b44fb7eca545def96fca58dcb89f8cf1c81db403fe4d1bd6675ed6c1bc92 |
| Published unknown |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| TRIGGER WORDS |
| ─────────────────────────────────────────────────────────────────────────────── |
| › "ArsMJStyle, Delicate Whimsy," |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| RECOMMENDED SETTINGS |
| ─────────────────────────────────────────────────────────────────────────────── |
| The author did not publish specific settings. |
| No author settings were published. Community baseline: steps 48 is the |
| reference default: docs/inference.md says "`V4_QUALITY_48` is the default" |
| and the pipeline's `num_steps` default is 48; diffusers documents the same |
| 48-step default. 20 is the practical ComfyUI default — the `V4_DEFAULT_20` |
| preset and the value the shipped template `image_ideogram4_t2i.json` |
| selects (its preset combo defaults to "Default"). 12 = `V4_TURBO_12`. With |
| the TurboTime LoRA: 8 in the nomadoor community workflow; the model card |
| claims usable output down to 2., cfg A guidance SCHEDULE, not one number, |
| and the negative branch comes from a second model rather than a negative |
| prompt. Verified from src/ideogram4/sampler_configs.py: V4_QUALITY_48 = 45 |
| steps @ gw 7 then 3 polish steps @ gw 3; V4_DEFAULT_20 = 18 @ 7 + 2 @ 3; |
| V4_TURBO_12 = 11 @ 7 + 1 @ 3. Pipeline default `guidance_scale` = 7.0 when |
| no schedule is given. In ComfyUI the shipped template sets |
| `DualModelGuider` cfg 7 plus a `CFGOverride` node with widgets [3, 0.7, 1] |
| (cfg 3 from 0.7→1.0 of the run); kijai recommends starting the override at |
| 0.7, not 0.9. TurboTime: cfg 1.0 / no CFG., sampler Euler flow-matching. In |
| ComfyUI: `KSamplerSelect` → euler, driven by `SamplerCustomAdvanced`, with |
| the model-specific `Ideogram4Scheduler` (logit-normal sigma schedule). Its |
| params are `mu` and `std`, not the usual `shift`. Reference presets: mu 0.0 |
| / std 1.5 (48-step), mu 0.0 / std 1.75 (20-step), mu 0.5 / std 1.75 |
| (12-step). The Ideogram4Scheduler node's own widget defaults are steps 20, |
| mu 0.5, std 1.75, but the shipped template overrides mu/std/steps from the |
| preset JSON, so out of the box it runs 20 / mu 0.0 / std 1.75. mu is auto- |
| shifted by resolution in both implementations: mean = mu + |
| 0.5*log((w*h)/(512*512))., resolution 1024×1024 default (pipeline |
| `height`/`width` default 1024). Any multiple of 16 per side from 256 to |
| 2048, aspect ratios up to 6:1 or 1:6 — one model covers all of it. |
| 2048×2048 with V4_QUALITY_48 for maximum quality. Buckets documented in |
| docs/inference.md: 1536×1024 (3:2), 1024×1536 (2:3), 1920×1088 (~16:9), |
| 2048×768 (~21:9), 1024×1792 (~9:16), 1600×400 (4:1)., lora_strength No |
| single official number; these are author-stated values. DeverStyle Archer: |
| 0.6, and explicitly "on the model only, not on the model_negative". |
| zjourney v2: 0.55 standalone (range 0.35–0.6), or v1 @ 0.35 + v2 @ 0.45 |
| stacked. Furry Enhancer: the model page says 0.6–0.8, but its own version |
| notes ask for 0.7–0.9 (v1.94) and 0.8–0.95 (v2.8). TurboTime: 0.6 in the |
| nomadoor workflow (the author gives no figure). So ~0.5–0.9 is the |
| realistic band, read the specific card.. |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| ADOPTION & POPULARITY |
| ─────────────────────────────────────────────────────────────────────────────── |
| No statistics available. |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| COMMUNITY NOTES |
| ─────────────────────────────────────────────────────────────────────────────── |
| Archive summary: |
| Delicate Whimsy is a style LoRA designed for Ideogram 4.0 checkpoints, |
| published by [ArsMachina](/users/ArsMachina) on CivitAI in April 2025, |
| now on version 11. Load a compatible checkpoint first, then apply this |
| LoRA on top via your UI's LoRA loader. It has attracted 127 downloads. |
| It's intended for storybook, midjourney, fine art, and lineart content. |
| The model is flagged NSFW on CivitAI and can produce explicit content. |
|
|
| Source: https://civarchive.com/models/1124747?modelVersionId=3075630 |
| Comments are other users' words, reproduced as written. |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| CHAINING / STACKING |
| ─────────────────────────────────────────────────────────────────────────────── |
| Stacks with others not stated |
|
|
| The author gave no chaining guidance. The rules below are the |
| general Ideogram 4 ones, not anything specific to this LoRA. |
|
|
| General Ideogram 4 rules that apply here (see REFERENCE.txt): |
|
|
| • Chain `LoraLoaderModelOnly` nodes in series off the CONDITIONAL model |
| loader, ahead of the guider. DeverStyle states its samples were made |
| "by setting the LORA @ 0.6 strength on the model only, not on the |
| model_negative". |
| • Model-only loaders throughout. The text encoder is a frozen Qwen3-VL-8B |
| with no LoRA-patchable CLIP branch, so the model+clip `LoraLoader` has |
| nothing useful to do. |
| • To affect the unconditional/negative branch you must load a second, |
| physically distinct model file and patch that one. Passing the same |
| patched model object into both DualModelGuider inputs is a verified no- |
| op (Comfy-Org issue #14521; kijai confirmed it is expected behaviour). |
| • Trigger words go INSIDE the JSON caption, in the semantically matching |
| field, not prepended to a prose string. DeverStyle instructs putting |
| `dvr_arch_tv` in `style_description.art_style` (and in the content |
| field); the Kiki LoRA card describes using `art_style: "Studio Ghibli |
| style"` with `medium: "anime_screencap"`. |
| • Two versions of the same LoRA can be stacked at reduced strengths: |
| zjourney's author recommends v1 @ 0.35 + v2 @ 0.45 over either alone at |
| full strength. |
| • TurboTime changes the graph, not just the strength: it runs at cfg 1.0 |
| and the reference community workflow swaps `DualModelGuider` for a |
| single-model `CFGGuider`, dropping the unconditional model. Re-tune any |
| stacked style LoRA downward. |
| • A LoRA can be applied to only part of the run. The Gray Screen bypass |
| LoRA is used at NEGATIVE weight (about -0.25) and, in its shipped |
| workflows, only on the first step and then disabled; its author warns |
| that "LoRA being active through the whole generation could lead to |
| degradation". |
| • The author never states which weight family this targets. Silent |
| degradation, not hard errors, in every case observed. (1) Loading a |
| conditional-trained LoRA onto the unconditional transformer succeeds |
| silently because the architectures match; it perturbs the negative |
| branch instead of the positive one. (2) Verified ComfyUI trap: in `Du |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| PROS |
| ─────────────────────────────────────────────────────────────────────────────── |
| + Well established — 4,019 downloads. [source: CivitAI stats] |
| + Positively received — 374 thumbs-up, 1 down. [source: CivitAI stats] |
| + Explicit trigger word(s) — ArsMJStyle, Delicate Whimsy, — so the effect |
| can be turned on and off from the prompt. [source: model metadata] |
| + Compact at 202 MB — cheap to stack with other LoRAs. [source: file |
| size] |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| CONS & CAVEATS |
| ─────────────────────────────────────────────────────────────────────────────── |
| - Thin documentation — expect trial and error. [source: description |
| length] |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| COMPATIBILITY WARNING |
| ─────────────────────────────────────────────────────────────────────────────── |
| Silent degradation, not hard errors, in every case observed. (1) Loading a |
| conditional-trained LoRA onto the unconditional transformer succeeds |
| silently because the architectures match; it perturbs the negative branch |
| instead of the positive one. (2) Verified ComfyUI trap: in |
| `DualModelGuider`, passing the SAME model object as both the conditional |
| model and the LoRA-patched unconditional model is a no-op. Comfy-Org issue |
| #14521 tabulates it — case 3 (DualModelGuider, conditional model as |
| positive, conditional model + LoRA as negative) was "exactly identical" to |
| plain conditional-only CFG, while case 4 with the real unconditional model |
| differed. kijai confirmed it is expected: "there's no (working) mechanic to |
| swap LoRA on each step on the same model, it would only work if the model |
| was a different one." To patch the negative branch you must load a |
| genuinely separate model file. (3) A diffusers/PEFT-prefixed LoRA in |
| ComfyUI is expected to produce only a "lora key not loaded" console warning |
| and no visible effect — this follows from the absent key mapping (see |
| checkpoint_families) rather than from a published Ideogram-4 bug report. |
| (4) Cross-quantization loading (fp8-trained LoRA onto nvfp4/nf4/GGUF) |
| generally works with some precision loss; int8_convrot had a specific, now- |
| fixed bug (see gotchas). |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| AUTHOR'S DESCRIPTION |
| ─────────────────────────────────────────────────────────────────────────────── |
| (the author left no description) |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| 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, 1024x1024) |
| 02_image.jpeg (image, 1024x1024) |
| 03_image.jpeg (image, 1024x1024) |
| 04_image.jpeg (image, 1024x1024) |
| 05_image.jpeg (image, 1024x1024) |
| 06_image.jpeg (image, 1024x1024) |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| HOW TO USE (COMFYUI) |
| ─────────────────────────────────────────────────────────────────────────────── |
| Use ComfyUI's NATIVE Ideogram 4 support (Comfy-Org/ComfyUI PR #14259 "feat: |
| Add Ideogram4 model support", merged 2026-06-03) — not the official |
| `ComfyUI-Ideogram4` custom-node wrapper, whose nodes (Magic Prompt / |
| Pipeline Loader / Generate) wrap Ideogram's reference pipeline and contain |
| no LoRA input at all (verified: no occurrence of "lora" in its nodes.py). |
|
|
| 1. Update ComfyUI to a build containing `comfy_extras/nodes_ideogram4.py` |
| (which supplies `Ideogram4Scheduler`); the same PR added the generic |
| `DualModelGuider` and `CFGOverride` nodes, which live in |
| `comfy_extras/nodes_custom_sampler.py`. |
| 2. From `Comfy-Org/Ideogram-4` download into |
| `ComfyUI/models/diffusion_models/`: `ideogram4_fp8_scaled.safetensors` |
| (9.28 GB) AND `ideogram4_unconditional_fp8_scaled.safetensors` (9.28 GB). |
| Lower-VRAM alternatives in the same folder: `*_nvfp4_mixed.safetensors` |
| (5.49 GB each) or `*_int8_convrot.safetensors` (9.58 GB each). |
| 3. Download `qwen3vl_8b_fp8_scaled.safetensors` (10.59 GB; or |
| `qwen3vl_8b_nvfp4.safetensors`, 6.31 GB) into |
| `ComfyUI/models/text_encoders/`. The shipped template also lists an |
| optional `gemma4_e4b_it_fp8_scaled.safetensors` from `Comfy-Org/gemma-4` |
| for local prompt building. |
| 4. Download `flux2-vae.safetensors` (0.34 GB, from Comfy-Org/Ideogram-4 or |
| Comfy-Org/flux2-dev) into `ComfyUI/models/vae/`. |
| 5. Put LoRA .safetensors in `ComfyUI/models/loras/` (no subfolder |
| convention enforced). |
| 6. Load the built-in template `image_ideogram4_t2i` (Workflow → Browse |
| Templates), or the workflow from |
| docs.comfy.org/tutorials/image/ideogram/ideogram-v4. |
| 7. Insert a `LoraLoaderModelOnly` between the main `UNETLoader` and the |
| `DualModelGuider`'s conditional model input. There is no CLIP-side LoRA |
| here — the text encoder is a frozen Qwen3-VL — so model-only is the right |
| loader. Strength ~0.5–0.8. |
| 8. Do NOT reuse one patched model object for both guider inputs; it |
| silently does nothing. Patching the negative branch requires a second, |
| physically separate model file with its own loader. |
| 9. Write the prompt as a JSON caption into `CLIPTextEncode` (the CLIPLoader |
| type is `ideogram4`); keep `ConditioningZeroOut` feeding the unconditional |
| branch. |
|
|
| Non-ComfyUI paths: diffusers — |
| `Ideogram4Pipeline.from_pretrained("ideogram-ai/ideogram-4-nf4")` (the |
| docs' own example; `ideogram-ai/ideogram-4-nf4-diffusers` also exists), |
| then `pipeline.load_lora_weights(...)`. Training — `ostris/ai-toolkit` |
| (built-in `extensions_built_in/diffusion_models/ideogram4/` plus an |
| `Ideogram4Captioner` that writes JSON captions) or diffusers |
| `examples/dreambooth/train_dreambooth_lora_ideogram4.py`. The official HF |
| weights are GATED (`gated: auto`): accept the license on the model page and |
| authenticate (`hf auth login` / `HF_TOKEN`) or downloads fail. |
|
|
| ─────────────────────────────────────────────────────────────────────────────── |
| Scraped by lorakit on 2026-09-05 03:47 UTC. |
| Stats and description are the author's; pros/cons are derived from the |
| evidence tagged beside each line. |
| ─────────────────────────────────────────────────────────────────────────────── |
|
|
