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/anisaser-epoch30")
prompt = "anisaser"
image = pipe(prompt).images[0]anisaser — Epoch 30/69
Identity LoRA checkpoint (epoch 30 of 69).
Trigger Word
Use anisaser in your prompt.
Download
https://huggingface.co/fwwrsd/anisaser-epoch30/resolve/main/anisaser_epoch30.safetensors
Training Details
| Parameter | Value |
|---|---|
| Base Model | Comfy-Org/z_image |
| Epoch | 30 / 69 |
| LoRA Rank | 64 |
| 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