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/uyt65-epoch52")
prompt = "uyt65"
image = pipe(prompt).images[0]uyt65 — Epoch 52/52
Identity LoRA checkpoint (epoch 52 of 52).
Trigger Word
Use uyt65 in your prompt.
Download
https://huggingface.co/fwwrsd/uyt65-epoch52/resolve/main/uyt65_epoch52.safetensors
Training Details
| Parameter | Value |
|---|---|
| Base Model | Comfy-Org/z_image |
| Epoch | 52 / 52 |
| LoRA Rank | 32 |
| Learning Rate | 0.00005 |
| Resolution | 1024px |
| Training Images | 58 |
Trained with NanoBanana LoRA Bot on RunPod
- Downloads last month
- 17
Model tree for fwwrsd/uyt65-epoch52
Base model
Comfy-Org/z_image