dataautogpt3
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Update README.md
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README.md
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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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output:
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url:
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output:
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url:
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output:
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url:
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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:
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- text: Kermit the frog, Paper Cutout Style
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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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## 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.
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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('
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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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32 rank lora
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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)
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