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--- |
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tags: |
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- text-to-image |
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- stable-diffusion |
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- diffusers |
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- image-generation |
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- flux |
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- safetensors |
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widget: |
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- text: A young asian girl, filmfotos,film grain, reversal film photography |
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output: |
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url: images/1.png |
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- text: >- |
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A young Japanese girl, profile, blue hours, Tokyo tower, filmfotos,film |
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grain, reversal film photography |
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output: |
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url: images/2.png |
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- text: Tokyo street photography, filmfotos,film grain, reversal film photography |
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output: |
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url: images/3.png |
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base_model: black-forest-labs/FLUX.1-dev |
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instance_prompt: filmfotos, film grain, reversal film photography |
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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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library_name: diffusers |
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--- |
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# FilmPortrait |
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<div class="container"> |
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<img src="./poster.jpeg" width="1024"/> |
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</div> |
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FilmPortrait is a LoRA model finetuned on FLUX.1-dev, specifically designed to enhance the film texture. It embodies a subdued, low-saturation color palette reminiscent of classic Japanese cinema, which is particularly evident in its portrayal of characters (with a subtle bias towards Asian features), serene still lifes, and sweeping landscapes. The model delivers an exceptional aesthetic experience, capturing the essence of a bygone era with modern precision. |
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<div class="container"> |
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<img src="./cover.jpeg" width="1024"/> |
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</div> |
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## Comparison |
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The following example shows a simple comparison with FLUX.1-dev under the same parameter setting. |
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<div class="container"> |
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<img src="./comparison.png" width="1024"/> |
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</div> |
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## Trigger words |
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You should use `filmfotos, film grain, reversal film photography` to trigger the image generation. |
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## Inference |
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```python |
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import torch |
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from diffusers import FluxPipeline |
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pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16) |
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pipe.load_lora_weights('Shakker-Labs/FilmPortrait', weight_name='filmfotos.safetensors') |
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pipe.fuse_lora(lora_scale=0.9) |
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pipe.to("cuda") |
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prompt = "a young girl, filmfotos, film grain, reversal film photography" |
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image = pipe(prompt, |
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num_inference_steps=24, |
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guidance_scale=3.5, |
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width=768, height=1024, |
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).images[0] |
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image.save(f"example.png") |
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``` |
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## Online Inference |
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You can also download this model at [Shakker AI](https://www.shakker.ai/modelinfo/ec983ff3497d46ea977dbfcd1d989f67?from=search), where we provide an online interface to generate images. |
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## Acknowledgements |
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This model is trained by our copyrighted users [DynamicWang](https://www.shakker.ai/userpage/dfca7abc67c04a9492ea738d864de070/publish). We release this model under permissions. The model follows [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md). |
