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patrickvonplaten
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textual_inversion_cat_2

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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("hf-internal-testing/tiny-stable-diffusion-pipe", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("patrickvonplaten/textual_inversion_cat_2")

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

Textual inversion text2image fine-tuning - patrickvonplaten/textual_inversion_cat_2

These are textual inversion adaption weights for hf-internal-testing/tiny-stable-diffusion-pipe. You can find some example images in the following.

img_0 img_1 img_2 img_3

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