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--- |
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tags: |
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- text-to-image |
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- flux |
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- lora |
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- diffusers |
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- template:sd-lora |
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- ai-toolkit |
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widget: |
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- text: a watercolor painting of birds flying over a body of water, with trees in |
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the foreground and a sky filled with clouds in the background. [trigger] |
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output: |
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url: samples/1746164789308__000001000_0.jpg |
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- text: a watercolor painting of a deer standing on top of a hill surrounded by |
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trees, plants, flowers, and mountains in the background with a sky filled |
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with clouds. [trigger] |
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output: |
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url: samples/1746164819144__000001000_1.jpg |
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- text: a painting of a man on a sailboat in the ocean, with the sky in the background. |
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The man is standing on the boat, and there is text on the left side of the |
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painting. [trigger] |
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output: |
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url: samples/1746164848879__000001000_2.jpg |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: homer |
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license: other |
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license_name: flux-1-dev-non-commercial-license |
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md |
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--- |
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# winslow-homer |
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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. |
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- https://huggingface.co/openfree/claude-monet |
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- https://huggingface.co/openfree/pierre-auguste-renoir |
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- https://huggingface.co/openfree/paul-cezanne |
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- https://huggingface.co/openfree/van-gogh |
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- https://huggingface.co/openfree/winslow-homer |
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<Gallery /> |
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## Trigger words |
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You should use `homer` to trigger the image generation. |
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## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc. |
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Weights for this model are available in Safetensors format. |
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[Download](/openfree/winslow-homer/tree/main) them in the Files & versions tab. |
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers) |
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```py |
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from diffusers import AutoPipelineForText2Image |
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import torch |
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pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda') |
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pipeline.load_lora_weights('openfree/winslow-homer', weight_name='winslow-homer.safetensors') |
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image = pipeline('a watercolor painting of birds flying over a body of water, with trees in the foreground and a sky filled with clouds in the background. [trigger]').images[0] |
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image.save("my_image.png") |
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``` |
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## Community: https://discord.gg/openfreeai |
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For more details, including weighting, merging and fusing LoRAs, check the [documentation on loading LoRAs in diffusers](https://huggingface.co/docs/diffusers/main/en/using-diffusers/loading_adapters) |
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