Instructions to use openfree/pierre-auguste-renoir with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use openfree/pierre-auguste-renoir with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("openfree/pierre-auguste-renoir") prompt = "a painting of a plate of fruit on a table, with a variety of fruits and vegetables arranged in a colorful and vibrant display. The plate is filled with a mix of different types of fruits, including apples, oranges, bananas, and grapes, and the vegetables are arranged in an aesthetically pleasing way. The colors of the fruits range from bright oranges and yellows to deep reds and purples, creating a vibrant and inviting atmosphere. [trigger]" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
pierre-auguste-renoir
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.
- https://huggingface.co/openfree/claude-monet
- https://huggingface.co/openfree/pierre-auguste-renoir
- https://huggingface.co/openfree/paul-cezanne
- https://huggingface.co/openfree/van-gogh
- https://huggingface.co/openfree/winslow-homer

- Prompt
- a painting of a plate of fruit on a table, with a variety of fruits and vegetables arranged in a colorful and vibrant display. The plate is filled with a mix of different types of fruits, including apples, oranges, bananas, and grapes, and the vegetables are arranged in an aesthetically pleasing way. The colors of the fruits range from bright oranges and yellows to deep reds and purples, creating a vibrant and inviting atmosphere. [trigger]

- Prompt
- 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]
Trigger words
You should use Renoir 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 𧨠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/pierre-auguste-renoir', weight_name='pierre-auguste-renoir.safetensors')
image = pipeline('a painting of a plate of fruit on a table, with a variety of fruits and vegetables arranged in a colorful and vibrant display. The plate is filled with a mix of different types of fruits, including apples, oranges, bananas, and grapes, and the vegetables are arranged in an aesthetically pleasing way. The colors of the fruits range from bright oranges and yellows to deep reds and purples, creating a vibrant and inviting 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
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Model tree for openfree/pierre-auguste-renoir
Base model
black-forest-labs/FLUX.1-dev