How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("HuggingFaceH4/zephyr-7b-beta", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("jeremyhola/LORAs")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Loras

This directory contains LoRA models fine-tuned on various datasets using the Diffusers LoRA Trainer

Downloads last month
6,855
GGUF
Model size
4B params
Architecture
qwen3
Hardware compatibility
Log In to add your hardware

16-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for jeremyhola/LORAs

Adapter
(415)
this model
Adapters
1 model