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--- |
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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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language: |
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- en |
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tags: |
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- flux |
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- diffusers |
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- lora |
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- replicate |
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base_model: black-forest-labs/FLUX.1-dev |
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pipeline_tag: text-to-image |
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instance_prompt: chanel25 |
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widget: |
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- text: >- |
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chanel25 The image shows a fashion runway setting with a woman walking down |
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the catwalk. She is wearing a structured, burgundy button-up coat that |
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extends to about knee length. Attached to the lower portion of this coat—or |
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forming a skirt beneath it—are layers of delicate, feather-like |
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embellishments in soft gray and pale blue tones, giving the garment a |
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dynamic, textured look. Her hair is pulled back neatly, and she appears |
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poised and focused as she walks. In the background, there is a large, airy |
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venue with a high ceiling and white architectural elements, and an audience |
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is seated on either side of the runway. The overall impression is of an |
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elegant, high-fashion moment. |
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output: |
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url: images/example_t3h8rl5m9.png |
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--- |
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# Chanel25 |
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<Gallery /> |
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Trained on Replicate using: |
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https://replicate.com/ostris/flux-dev-lora-trainer/train |
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## Trigger words |
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You should use `chanel25` to trigger the image generation. |
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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.float16).to('cuda') |
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pipeline.load_lora_weights('veravira/chanel25', weight_name='lora.safetensors') |
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image = pipeline('your prompt').images[0] |
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``` |
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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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