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Update README.md

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  1. README.md +13 -14
README.md CHANGED
@@ -11,23 +11,18 @@ tags:
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  base_model: black-forest-labs/FLUX.1-dev
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  instance_prompt: Paper Cutout Style
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  widget:
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- - text: The cookie monster, Paper Cutout Style
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  output:
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- url: d979c6e346504090ae53b1a5ef5d4018_8b54c3ba6d284637b140f40718118b78.png
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- - text: Gal Gadot as wonderwoman, Paper Cutout Style
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  output:
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- url: d13591878d5043f3989dd6eb1c25b710_233c18effb4b491cb467ca31c97e90b5.png
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- - text: The Joker, Paper Cutout Style
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  output:
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- url: 4e5fd35736f24061a08bc57bb4c92ca4_e416314bb419473ca3da3f0971ec26ef.png
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- - text: >-
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- A green Cthulhu is rising from the blue sea in a great lightning storm,
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- based on a story by H.P. Lovecraft, Paper Cutout Style
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  output:
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- url: 08a19840b6214b76b0607b2f9d5a7e28_63159b9d98124c008efb1d36446a615c.png
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- - text: Kermit the frog, Paper Cutout Style
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- output:
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- url: 1f14bd65af7242149b0ab202e9b7a88c_ffb3fb9207f34d2dbc577bae2a2f38b2.png
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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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@@ -35,6 +30,10 @@ license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICE
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  ## Model description
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  ## Trigger words
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  You should use `1980s anime screengrab, VHS quality,` or `syntheticanime` to trigger the image generation.
@@ -47,7 +46,7 @@ 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('dataautogpt3/FLUX-SyntheticAnime', weight_name='Flux_1_Dev_LoRA_syntheticanime.safetensors')
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- image = pipeline('Gal Gadot as wonderwoman, Paper Cutout Style').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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  base_model: black-forest-labs/FLUX.1-dev
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  instance_prompt: Paper Cutout Style
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  widget:
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+ - text: 1980s anime screengrab, VHS quality, a woman with her face glitching and disorted, a halo above her head
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  output:
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+ url: assets/angel.png
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+ - text: Still frame from a 1980s vintage manga, cell shaded, a wall made of eyes, VHS quality,
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  output:
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+ url: assets/eyes.png
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+ - text: Still frame from a 1980s vintage manga, cell shaded, where a girl is holding a lantern to a wall made out of faces, VHS quality,
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  output:
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+ url: assets/wall.png
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+ - text: Still frame from a 1980s vintage manga where an anime couple dip their toes in a galaxy lake, nature, VHS quality
 
 
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  output:
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+ url: assets/galaxy.png
 
 
 
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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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  ## Model description
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+ Lora trained on the unique style and prompting AI generated image aesthetic of r/SyntheticAnime. over 300 images were used to train this lora for 15 epochs.
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+
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+ 32 rank lora
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+
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  ## Trigger words
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  You should use `1980s anime screengrab, VHS quality,` or `syntheticanime` to trigger the image generation.
 
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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('dataautogpt3/FLUX-SyntheticAnime', weight_name='Flux_1_Dev_LoRA_syntheticanime.safetensors')
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+ image = pipeline('1980s anime screengrab, VHS quality, a woman with her face glitching and disorted, a halo above her head').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)