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("riffusion/riffusion-model-v1", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("exiomius/MastersSpec2")

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

LoRA text2image fine-tuning - https://huggingface.co/exiomius/MastersSpec2

These are LoRA adaption weights for riffusion/riffusion-model-v1. The weights were fine-tuned on the /home/ubuntu/Spectrograms2 dataset. You can find some example images in the following.

img_0 img_1 img_2 img_3

Downloads last month
1
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for exiomius/MastersSpec2

Adapter
(5)
this model