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README.md
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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: SSGM black and white color illustration, two males in their late 30s and
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one asian female in her late 20s having a conversation about economic issue
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in a newsroom, while laughing and arguing
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output:
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url: samples/1733308217764__000001500_0.jpg
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- text: SSGM black and white color illustration, one young female professor explains
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about why people can't date while 3~4 students in their early 30s got shocked
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output:
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url: samples/1733308236371__000001500_1.jpg
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- text: SSGM black and white color illustration, one male in his 30s and one asian
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female in her early 20s sitting on the different couch talking about their
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life while the guy is trying to make fun of her
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output:
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url: samples/1733308254960__000001500_2.jpg
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- text: SSGM black and white color illustration, one man in his early 30s showing
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off his cool electronic products on the table and trying to explain its special
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features
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output:
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url: samples/1733308273549__000001500_3.jpg
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- text: SSGM black and white color illustration, one male in his early 20's and
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asian female in her early 20's are sitting on the wooden floor with some snacks,
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and drinking and laughing
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output:
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url: samples/1733308292134__000001500_4.jpg
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base_model: black-forest-labs/FLUX.1-dev
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instance_prompt: SSGM
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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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# storyboard_scene_generation_model_flux_v3_fifty_training
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
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<Gallery />
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## Trigger words
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You should use `SSGM` 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](/jwywoo/storyboard-scene-generation-model-flux-v3-F-T/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('jwywoo/storyboard-scene-generation-model-flux-v3-F-T', weight_name='storyboard_scene_generation_model_flux_v3_fifty_training.safetensors')
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image = pipeline('SSGM black and white color illustration, two males in their late 30s and one asian female in her late 20s having a conversation about economic issue in a newsroom, while laughing and arguing').images[0]
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image.save("my_image.png")
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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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