Instructions to use EF54321/lora_templa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use EF54321/lora_templa with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jayn7/Z-Image-Turbo-GGUF", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("EF54321/lora_templa") prompt = "prompt__" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("jayn7/Z-Image-Turbo-GGUF", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("EF54321/lora_templa")
prompt = "prompt__"
image = pipe(prompt).images[0]display_name

- Prompt
- prompt__
- Negative Prompt
- negative_protttt
Model description
description
Trigger words
You should use trigger wordsssss to trigger the image generation.
Download model
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