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claude-monet

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metadata
tags:
  - text-to-image
  - flux
  - lora
  - diffusers
  - template:sd-lora
  - ai-toolkit
widget:
  - text: >-
      Claude Monet's 1916 painting, Water Lilies, which is currently on display
      at the Metropolitan Museum of Art. The painting depicts a tranquil pond
      with water lilies floating on the surface, surrounded by lush green
      foliage and a variety of colorful flowers. The colors of the flowers range
      from bright pinks and purples to deep blues and greens, creating a
      peaceful and calming atmosphere. [trigger]
    output:
      url: samples/1732203998426__000001000_0.jpg
  - text: >-
      a painting of a vase filled with flowers and fruits on a table, with a
      chair in the background. The vase is filled with a variety of colorful
      flowers, including roses, daisies, and lilies, and the fruits are arranged
      in a pleasing composition. The table is a light wood color and the chair
      is a dark wood, providing a contrast to the vibrant colors of the flowers
      and fruit. [trigger]
    output:
      url: samples/e9c21a0a-d376-49d4-9d61-54097456244c.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: claude monet
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md

claude-monet

I developed a flux-based learning model trained on a curated collection of high-resolution masterpieces from renowned global artists. This LoRA fine-tuning process leveraged the exceptional quality of open-access imagery released by prestigious institutions including the Art Institute of Chicago. The resulting model demonstrates remarkable capability in capturing the nuanced artistic techniques and stylistic elements across diverse historical art movements.

Trigger words

You should use claude monet to trigger the image generation.

Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library 

from diffusers import AutoPipelineForText2Image
import torch

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('openfree/claude-monet', weight_name='claude-monet.safetensors')
image = pipeline('Claude Monet's 1916 painting, Water Lilies, which is currently on display at the Metropolitan Museum of Art. The painting depicts a tranquil pond with water lilies floating on the surface, surrounded by lush green foliage and a variety of colorful flowers. The colors of the flowers range from bright pinks and purples to deep blues and greens, creating a peaceful and calming atmosphere. [trigger]').images[0]
image.save("my_image.png")

Community: https://discord.gg/openfreeai

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers