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sd-concepts-library
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buhu-art-style

Text-to-Image
Diffusers
StableDiffusionPipeline
textual_inversion
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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("fill-in-base-model", dtype=torch.bfloat16, device_map="cuda")
pipe.load_textual_inversion("sd-concepts-library/buhu-art-style")

sd-concepts-library-buhu-art-style

This repository contains a training script that fetches the list of artwork produced by\ ArtStationBruce and a Stable Diffusion pipe that generates images using the model, under the instruction of Stable Diffusion concepts library.

Usage

  • Open Stable Diffusion usage pipe in Colab. Edit your prompt with tag <buhu> at the end of the file. Open In Colab
  • Load pre-trainned model. Hugging Face Model
  • (Optional) If you want to train the model by yourself, use the Model Trainer. Open In Colab

Example

human painted image alt text alt text generated image alt text

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