import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Comfy-Org/z_image", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("fwwrsd/yhuu88-epoch4")
prompt = "yhuu88"
image = pipe(prompt).images[0]yhuu88 — Epoch 4/17
Identity LoRA checkpoint (epoch 4 of 17).
Trigger Word
Use yhuu88 in your prompt.
Download
https://huggingface.co/fwwrsd/yhuu88-epoch4/resolve/main/yhuu88_epoch4.safetensors
Training Details
| Parameter | Value |
|---|---|
| Base Model | Comfy-Org/z_image |
| Epoch | 4 / 17 |
| LoRA Rank | 32 |
| Learning Rate | 0.00005 |
| Resolution | 1024px |
| Training Images | 58 |
Trained with NanoBanana LoRA Bot on RunPod
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Base model
Comfy-Org/z_image