Instructions to use lantianws666/moss-chenbin-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use lantianws666/moss-chenbin-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OpenMOSS-Team/MOSS-Image-Base", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("lantianws666/moss-chenbin-style") 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
- DiffusionBee
Chenbin Style | ้ฌผ้่็ป้ฃ
Chenbin Style (้ฌผ้่็ป้ฃ)
่ฟๅ็ปๅธ้ฌผ้่ๆ ๅฟๆง็ๆๅ็ป็บฟๆกใไฝ้ฅฑๅๆฐดๅฝฉ่ดจๆใ้ไบฎ่่คไธๆทกๆจฑ็ฒ่ ฎ็บขใ A style LoRA recreating the soft linework, low-saturation watercolor texture, translucent skin and signature pale blush of artist Chenbin.
Recommended Settings
ParameterValueLoRA Weight0.8 (0.6 โ 1.0)Steps50CFG Scale3.0SamplerEulerSchedulerSimpleResolution1024ร1024 โ 1536ร2048Skip Layer Guidancesingle_layers 22, start 0.0, end 1.0
Clip skip is not used. No trigger words required โ this is a pure style LoRA.
Training Details
ItemValueBase ModelOpenMOSS-Team / MOSS-Image-BaseNetworkLoRARank / Alpha32 / 32Steps1500Batch Size1Learning Rate1e-4OptimizerAdamW 8bitPrecisionbf16Text Encoder TrainedNoResolution1024ร1024Dataset117 imagesuncond_skip_layers[22]Training Time~55 min (H20 96GB)Training Toolai-toolkit
Usage Notes
No trigger words โ the style applies automatically
Weight 0.8 is the sweet spot. 1.0 tends to overexpose, below 0.65 the style fades
Keep CFG at 3.0. Going above 5 causes oversaturation
Steps below 30 visibly loses detail in hair strands and lace
SLG must stay on (single_layers 22). Turning it off produces color noise
When stacking with a character LoRA, use 0.5โ0.6 for each
Known Limitations
Fine textures โ trained at 1024px, so ultra-fine details like stocking mesh cannot be rendered. This matches the artist's loose, impressionistic style.
White-heavy bias โ the training set skews toward white clothing, so pure-white scenes may overexpose.
Auto pantyhose โ the model tends to add pantyhose automatically. Use negative prompts to remove.
License
Commercial use: No
Merging: Allowed
Selling generated images: Allowed
Credit appreciated but not required
Tags anime, style, illustration, watercolor, soft, pastel, low saturation, fine line, blush, gentle, ้ฌผ้่, chenbin
Files
| File | Size | Note |
|---|---|---|
chenbin_style_v2_blush_1500step_rank32.safetensors |
141.8 MB | bf16 safetensors, rank 32 |
Trigger word: ๆ ๏ผ็บฏ็ป้ฃ๏ผ่ชๅจ็ๆ๏ผ
Recommended LoRA weight: 0.8
Samples
Usage
This is a LoRA for MOSS-Image. To use it on HuggingFace Spaces, pass this repo id
to the lora_repo field of mrfakename/moss-image:
lora_repo = "lantianws666/moss-chenbin-style"
lora_scale = 0.8
model = "MOSS-Image Base"
Or load it with the native MOSSImagePipeline:
mc = ModelConfig(
name_or_path="OpenMOSS-Team/MOSS-Image-Base",
arch="moss_image", dtype="bf16",
quantize=False, quantize_te=False,
model_kwargs={"uncond_skip_layers": [22]},
)
lora = InferenceLoRA("chenbin_style_v2_blush_1500step_rank32.safetensors", strength=0.8)
Recommended settings
| Item | Value |
|---|---|
| Base model | MOSS-Image |
| LoRA weight | 0.8 |
| Resolution | 1024x1536 |
| Steps | 30 |
| CFG | 3.0 |
| uncond_skip_layers | [22] |
Training
| Item | Value |
|---|---|
| Tool | ai-toolkit |
| Network | LoRA |
| Rank / Alpha | 32 / 32 |
| Text encoder | frozen (not trained) |
| Precision | bf16 |
License
Apache-2.0 (weights). See the original Civitai page for usage notes.
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Base model
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