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Update README.md

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  1. README.md +12 -13
README.md CHANGED
@@ -7,29 +7,29 @@ tags:
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  - template:sd-lora
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  - ai-toolkit
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  widget:
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- - text: '[trigger] holding a sign that says ''I am Jacob!'''
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  output:
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  url: samples/1733828839445__000003000_0.jpg
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- - text: '[trigger] with red hair, playing chess at the park, bomb going off in the
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- background'
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- output:
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- url: samples/1733828876329__000003000_1.jpg
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- - text: '[trigger] holding a coffee cup, in a beanie, sitting at a cafe'
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  output:
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  url: samples/1733828913177__000003000_2.jpg
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- - text: '[trigger] is a DJ at a night club, fish eye lens, smoke machine, lazer
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  lights, holding a martini'
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  output:
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  url: samples/1733828950036__000003000_3.jpg
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- - text: '[trigger] playing the guitar, on stage, singing a song, laser lights, punk
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  rocker'
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  output:
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  url: samples/1733828986933__000003000_4.jpg
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- - text: '[trigger], in a post apocalyptic world, with a shotgun, in a leather jacket,
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  in a desert, with a motorcycle'
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  output:
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  url: samples/1733829023852__000003000_5.jpg
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- - text: '[trigger], in 90s Japanese Anime style with beautiful city background'
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  output:
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  url: samples/1733829060821__000003000_6.jpg
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  base_model: black-forest-labs/FLUX.1-dev
@@ -60,10 +60,9 @@ 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('JacobLinCool/jacob-image-test-x', weight_name='jacob-image-test-flux.safetensors')
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- image = pipeline('[trigger] holding a sign that says 'I am Jacob!'').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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-
 
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  - template:sd-lora
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  - ai-toolkit
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  widget:
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+ - text: 'Jacob holding a sign that says ''I am Jacob!'''
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  output:
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  url: samples/1733828839445__000003000_0.jpg
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+ # - text: 'Jacob with red hair, playing chess at the park, bomb going off in the
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+ # background'
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+ # output:
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+ # url: samples/1733828876329__000003000_1.jpg
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+ - text: 'Jacob holding a coffee cup, in a beanie, sitting at a cafe'
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  output:
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  url: samples/1733828913177__000003000_2.jpg
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+ - text: 'Jacob is a DJ at a night club, fish eye lens, smoke machine, lazer
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  lights, holding a martini'
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  output:
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  url: samples/1733828950036__000003000_3.jpg
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+ - text: 'Jacob playing the guitar, on stage, singing a song, laser lights, punk
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  rocker'
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  output:
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  url: samples/1733828986933__000003000_4.jpg
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+ - text: 'Jacob, in a post apocalyptic world, with a shotgun, in a leather jacket,
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  in a desert, with a motorcycle'
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  output:
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  url: samples/1733829023852__000003000_5.jpg
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+ - text: 'Jacob, in 90s Japanese Anime style with beautiful city background'
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  output:
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  url: samples/1733829060821__000003000_6.jpg
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  base_model: black-forest-labs/FLUX.1-dev
 
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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('JacobLinCool/FLUXd-jacob-v0.1', weight_name='FLUXd-jacob-v0.1.safetensors')
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+ image = pipeline('Jacob holding a sign that says 'I am Jacob!'').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)