Instructions to use Alex995647/loras-flux2-klein-9b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Alex995647/loras-flux2-klein-9b with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.2-klein-9B", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Alex995647/loras-flux2-klein-9b") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
File size: 5,199 Bytes
da3a9ef | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 | {
"name": "90s sitcom",
"slug": "90s-sitcom",
"base_model": "FLUX.2 [klein] 9B",
"media_type": "image",
"model_id": 2123938,
"version_id": 2788280,
"version_name": "Klein9B",
"source": "civitai",
"url": "https://civitai.com/models/2123938",
"repo_id": null,
"file_path": null,
"author": "ArsMachina",
"category": {
"key": "style",
"label": "Visual style"
},
"modalities": [],
"primary_modality": "unspecified",
"checkpoint_family": "unknown",
"trigger_words": [
"90s Sitcom,"
],
"recommended_settings": {},
"chaining": {
"author": {
"stacks": "not stated",
"notes": "",
"avoid": [],
"requires": [],
"order": "",
"strength": "",
"stated": false
},
"general_rules": [
"Chain LoRAs by stringing LoraLoaderModelOnly nodes in series, model output into model input. There is no CLIP side to route β klein LoRAs are model-only because the Qwen3 text encoder is not trained (CivitAI's recipe fixes trainTextEncoder: false).",
"Only stack LoRAs of the same parameter size. 9B stacks with 9B; a 4B LoRA in a 9B stack is an architectural mismatch (3072 vs 4096 hidden, 5+20 vs 8+24 blocks), not a quality question.",
"Mixing a \"Flux.2 Klein 9B\" LoRA and a \"Flux.2 Klein 9B-base\" LoRA in one stack is fine β those strings describe the training checkpoint, not incompatible tensor layouts. Set the sampler for the checkpoint actually loaded.",
"Run base-trained LoRAs on the distilled checkpoint when you want speed: HF's klein LoRA guide reports the adapter loads there and typically gives better results than on base, at 4 steps.",
"A base-to-turbo / distillation-extraction LoRA is a whole-model delta, not a content LoRA. Put it on the base checkpoint only, and treat its strength as a steps/CFG dial rather than a style knob. Do not add it on top of the already-distilled checkpoint.",
"Read each LoRA's own published strength range instead of defaulting everything to 1.0 β klein LoRAs in the wild ship very different ones (0.5 start for the consistency LoRA, 0.8 for SOLRICKS' detail LoRA, under 0.5 and sometimes 0.1 for the vafipas663 distillation delta).",
"With a consistency or edit LoRA in the stack, excessive strength suppresses the prompt: the consistency LoRA's article says that if edits stop applying, lower it before changing anything else.",
"Prefer runtime LoRA patching over baking a LoRA into the checkpoint: ComfyUI's Model Merge / Model Save nodes have not detected Flux2 Klein models (4B or 9B) since a March 2026 update β issue #13637, still open.",
"The author never states which weight family this targets. Two different questions, two different answers. Within 9B (distilled vs base β the two CivitAI strings): not a real incompatibility. Both load through the same Flux2KleinPipeline and have the same repo layout; for the 4B pair, where both transformer configs are public, the distil"
]
},
"pros": [
"Well established β 3,142 downloads. [source: CivitAI stats]",
"Positively received β 222 thumbs-up with no down-votes. [source: CivitAI stats]",
"Explicit trigger word(s) β 90s Sitcom, β so the effect can be turned on and off from the prompt. [source: model metadata]",
"Compact at 79 MB β cheap to stack with other LoRAs. [source: file size]"
],
"cons": [
"Author never states which generation mode it was trained for; test against your own workflow before relying on it. [source: description]"
],
"file": {
"name": "90sSitcomKlein9b.safetensors",
"size_bytes": 82866712,
"size_mb": 79.03,
"sha256": "afc4567612d64251680070e190c5c24d495242139e02af064a23ab8b04fd5f7a"
},
"stats": {
"downloads": 3142,
"thumbs_up": 222,
"thumbs_down": 0
},
"popularity": {
"downloads": 3142,
"thumbs_up": 222,
"thumbs_down": 0,
"comments": 5,
"approval": "100% positive (222/222)",
"age_days": 133.5,
"downloads_per_day": 6.05,
"rank_by_downloads": 138,
"rank_by_momentum": 52,
"of_total": 150,
"adoption_tier": "Niche",
"momentum": "Steady"
},
"selection_score": 6206.0,
"selection_reasons": [
"3,142 downloads",
"222 thumbs-up",
"documented triggers + usage notes",
"top-ranked for its category"
],
"example_media": [
{
"file": "01_image.jpeg",
"type": "image",
"resolution": "1024x1024",
"prompt": ""
},
{
"file": "02_image.jpeg",
"type": "image",
"resolution": "1024x1024",
"prompt": ""
},
{
"file": "03_image.jpeg",
"type": "image",
"resolution": "1024x1024",
"prompt": ""
},
{
"file": "04_image.jpeg",
"type": "image",
"resolution": "1024x1024",
"prompt": ""
},
{
"file": "05_image.jpeg",
"type": "image",
"resolution": "1024x1024",
"prompt": ""
},
{
"file": "06_image.jpeg",
"type": "image",
"resolution": "1024x1024",
"prompt": ""
}
],
"tags": [
"style",
"90s"
],
"scraped_at": "2026-09-05T02:05:53+00:00",
"path": "flux2-klein-9b/90s-sitcom"
}
|