Instructions to use fwwrsd/zimage-lora-234-77458782 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fwwrsd/zimage-lora-234-77458782 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("fwwrsd/zimage-lora-234-77458782") 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
| license: apache-2.0 | |
| tags: | |
| - z-image | |
| - lora | |
| - image-generation | |
| - diffusion-pipe | |
| - safetensors | |
| library_name: diffusers | |
| pipeline_tag: text-to-image | |
| # Z Image LoRA β `234` | |
| A personalized LoRA trained with **Z Image** pipeline for generating images with a specific identity. | |
| ## Quick Start | |
| ### Direct Download URL | |
| ``` | |
| https://huggingface.co/fwwrsd/zimage-lora-234-77458782/resolve/main/lora.safetensors | |
| ``` | |
| ### ComfyUI Setup | |
| 1. Download `lora.safetensors` β place in `ComfyUI/models/loras/` | |
| 2. Use **LoRA Loader** node | |
| 3. Set trigger word: `234` | |
| ### Download via Command Line | |
| ```bash | |
| wget https://huggingface.co/fwwrsd/zimage-lora-234-77458782/resolve/main/lora.safetensors -O lora_234.safetensors | |
| huggingface-cli download fwwrsd/zimage-lora-234-77458782 lora.safetensors | |
| ``` | |
| ## Recommended Settings | |
| | Parameter | Value | | |
| |-----------|-------| | |
| | LoRA Strength | 0.7 β 1.0 | | |
| | CFG Scale | 3.5 | | |
| | Steps | 20 β 30 | | |
| **Trigger word:** `234` β include in your prompt to activate the LoRA. | |
| ## Training Details | |
| | Parameter | Value | | |
| |-----------|-------| | |
| | Training Method | diffusion-pipe + DeepSpeed | | |
| | LoRA Rank | 16 | | |
| | Learning Rate | 1e-4 | | |
| | Epochs | unknown | | |
| | Resolution | 1024px | | |
| | Dataset Size | 58 images | | |
| | Preset | fast | | |
| | Created | 2026-02-28 | | |
| | GPU | NVIDIA H200 SXM 141GB | | |
| ## License | |
| Apache 2.0 β free for personal and commercial use. | |
| --- | |
| *Trained with [NanoBanana LoRA Bot](https://t.me/LoraDatasetBot) on RunPod* | |