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MaxReynolds
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SouderRocketLauncherNet

Text-to-Image
Diffusers
TensorBoard
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("CompVis/stable-diffusion-v1-2", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("MaxReynolds/SouderRocketLauncherNet")

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

LoRA text2image fine-tuning - MaxReynolds/SouderRocketLauncherNet

These are LoRA adaption weights for CompVis/stable-diffusion-v1-2. The weights were fine-tuned on the MaxReynolds/Lee_Souder_RocketLauncher dataset. You can find some example images in the following.

img_0 img_1 img_2 img_3

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