Instructions to use fwwrsd/uyt65-epoch20 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fwwrsd/uyt65-epoch20 with Diffusers:
pip install -U diffusers transformers accelerate
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-epoch20") prompt = "uyt65" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
uyt65 โ Epoch 20/52
Identity LoRA checkpoint (epoch 20 of 52).
Trigger Word
Use uyt65 in your prompt.
Download
https://huggingface.co/fwwrsd/uyt65-epoch20/resolve/main/uyt65_epoch20.safetensors
Training Details
| Parameter | Value |
|---|---|
| Base Model | Comfy-Org/z_image |
| Epoch | 20 / 52 |
| LoRA Rank | 32 |
| Learning Rate | 0.00005 |
| Resolution | 1024px |
| Training Images | 58 |
Trained with NanoBanana LoRA Bot on RunPod
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Model tree for fwwrsd/uyt65-epoch20
Base model
Comfy-Org/z_image