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blanchon
/
sd-geolora3_v2

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stable-diffusion
stable-diffusion-diffusers
lora
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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("runwayml/stable-diffusion-v1-5", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("blanchon/sd-geolora3_v2")

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

LoRA text2image fine-tuning - blanchon/sd-geolora3_v2

These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the blanchon/merged_dataset dataset. You can find some example images in the following.

img_0 img_1 img_2 img_3 img_4 img_5 img_6 img_7 img_8 img_9 img_10 img_11 img_12 img_13 img_14 img_15 img_16 img_17 img_18 img_19 img_20 img_21 img_22 img_23 img_24 img_25 img_26 img_27

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