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.
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]
Prompt
Paul Cezanne's painting of a village by the sea, with houses, trees, and mountains in the background, and a sky above. [trigger]
Prompt
Paul Cezanne's painting of a village nestled in the countryside, with houses, trees, and a sky with clouds in the background. [trigger]
Trigger words
You should use
Cezanne
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.
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/paul-cezanne', weight_name='paul-cezanne.safetensors')
image = pipeline('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]').images[0]
image.save("my_image.png")
paul-cezanne huggingface.co is an AI model on huggingface.co that provides paul-cezanne's model effect (), which can be used instantly with this openfree paul-cezanne model. huggingface.co supports a free trial of the paul-cezanne model, and also provides paid use of the paul-cezanne. Support call paul-cezanne model through api, including Node.js, Python, http.
paul-cezanne huggingface.co is an online trial and call api platform, which integrates paul-cezanne's modeling effects, including api services, and provides a free online trial of paul-cezanne, you can try paul-cezanne online for free by clicking the link below.
openfree paul-cezanne online free url in huggingface.co:
paul-cezanne is an open source model from GitHub that offers a free installation service, and any user can find paul-cezanne on GitHub to install. At the same time, huggingface.co provides the effect of paul-cezanne install, users can directly use paul-cezanne installed effect in huggingface.co for debugging and trial. It also supports api for free installation.