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SimonJonsson1999
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test_lora_decoder

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Diffusers
kandinsky
diffusers-training
lora
Model card Files
xet
 Community
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("kandinsky-community/kandinsky-2-2-decoder", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("SimonJonsson1999/test_lora_decoder")

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

LoRA text2image fine-tuning - SimonJonsson1999/test_lora_decoder

These are LoRA adaption weights for kandinsky-community/kandinsky-2-2-decoder. The weights were fine-tuned on the None dataset. You can find some example images in the following.

img_0

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