Instructions to use seawolf2357/my-lora-20260110-0809 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use seawolf2357/my-lora-20260110-0809 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("seawolf2357/my-lora-20260110-0809") 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
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("seawolf2357/my-lora-20260110-0809")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]my-lora-20260110-0809
LoRA Trainer로 학습된 커스텀 LoRA 모델
모델 정보
- 유형: Z-Image용 LoRA 가중치
- 생성일: 2026-01-10 08:29:54
- 트리거 워드:
koyoon
사용 방법
from diffusers import DiffusionPipeline
pipe = DiffusionPipeline.from_pretrained("your-base-model")
pipe.load_lora_weights("seawolf2357/my-lora-20260110-0809")
pipe.to("cuda")
prompt = "koyoon, your prompt here"
image = pipe(prompt).images[0]
Z-Image LoRA Trainer로 생성됨
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