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--- |
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license: apache-2.0 |
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language: |
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- en |
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base_model: black-forest-labs/FLUX.1-schnell |
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pipeline_tag: text-to-image |
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tags: |
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- flux |
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- lora |
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- image-generation |
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- diffusers |
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--- |
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LoRA checkpoint aiming to improve [FLUX.1 [schnell]](https://huggingface.co/black-forest-labs/FLUX.1-schnell) photorealism. |
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**The weights are provided as `.safetensors` file**, so they are suited for every use-cases, including but not limited to: |
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- SD-WebUI |
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- ComfyUI |
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- InvokeAI |
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- Forge |
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- ... |
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# Training details |
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This checkpoint has been trained with a fairly small dataset of 100+ synthetic images generated and upscaled using [Runtime44](https://runtime44.com) |
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All images have been manually captionned **without** any specific trigger word. |
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Training was done using [kohya-ss scripts](https://github.com/kohya-ss/sd-scripts) on a local machine with 16Gb of VRAM and took ~1h |
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# Usage |
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## With [🧨Diffusers](https://huggingface.co/docs/diffusers/en/index) library |
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```python |
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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-schnell', torch_dtype=torch.bfloat16).to('cuda') |
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pipeline.load_lora_weights('hugovntr/flux-schnell-realism', weight_name='schnell-realism_v1') |
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image = pipeline('Moody kitchen at dusk, warm golden ...').images[0] |
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image.save("output.png") |
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``` |
