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- README.md +52 -0
- config.yaml +70 -0
- pipocoin2.safetensors +3 -0
- pipocoin2_000001500.safetensors +3 -0
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README.md
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---
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tags:
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- diffusers
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- text-to-image
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- template:sd-lora
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- base_model:black-forest-labs/FLUX.1-dev
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- base_model:finetune:black-forest-labs/FLUX.1-dev
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- license:other
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- region:us
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- flux
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- lora
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widget:
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- output:
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url: samples/1730284098064__000003000_0.jpg
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text: A cartoon Jedi with green lightsaber [$pipocoin]
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- output:
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url: samples/1730284121962__000003000_1.jpg
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text: mini Pipo the hippo [$pipocoin]
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- output:
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url: samples/1730284145600__000003000_2.jpg
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text: AN ACTION SCENE [$pipocoin]
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- output:
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url: samples/1730284169405__000003000_3.jpg
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text: A woman holding a cartoon CAT [$pipocoin]
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- output:
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url: samples/1730284193327__000003000_4.jpg
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text: THE JOKER MOG FACE LOL HAHA [$pipocoin]
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- output:
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url: samples/1730284216962__000003000_5.jpg
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text: BATMAN cartoon IN GOTHAM [$pipocoin]
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- output:
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url: samples/1730284240893__000003000_6.jpg
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text: CHAD WITH LOTS OF CASH [$pipocoin]
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base_model: black-forest-labs/FLUX.1-dev
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trigger: $pipocoin
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instance_prompt: $pipocoin
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license: other
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license_name: flux-1-dev-non-commercial-license
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license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
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---
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# pipocoin2
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Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit) under the [Glif Loradex program](https://huggingface.co/glif-loradex-trainer) by [Glif](https://glif.app) user `insectagon`.
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<Gallery />
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## Trigger words
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You should use `$pipocoin` to trigger the image generation.
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## Download model
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Weights for this model are available in Safetensors format.
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[Download](/glif-loradex-trainer/insectagon_pipocoin2/tree/main) them in the Files & versions tab.
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## License
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This model is licensed under the [flux-1-dev-non-commercial-license](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).
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config.yaml
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config:
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name: pipocoin2
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process:
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- datasets:
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- cache_latents_to_disk: true
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caption_dropout_rate: 0.2
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caption_ext: txt
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folder_path: /root/lorahub/pipocoin2/dataset
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resolution:
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- 1024
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shuffle_tokens: true
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token_dropout_rate: 0.01
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device: cuda:0
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model:
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is_flux: true
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name_or_path: black-forest-labs/FLUX.1-dev
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quantize: true
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text_encoder_bits: 8
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network:
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linear: 42
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linear_alpha: 42
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transformer_only: true
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type: lora
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performance_log_every: 500
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sample:
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height: 1024
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neg: ''
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prompts:
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- A cartoon Jedi with green lightsaber [$pipocoin]
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- mini Pipo the hippo [$pipocoin]
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- AN ACTION SCENE [$pipocoin]
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- A woman holding a cartoon CAT [$pipocoin]
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- THE JOKER MOG FACE LOL HAHA [$pipocoin]
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- BATMAN cartoon IN GOTHAM [$pipocoin]
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- CHAD WITH LOTS OF CASH [$pipocoin]
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sample_every: 500
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sample_steps: 25
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sampler: flowmatch
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seed: 777
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walk_seed: true
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width: 1024
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save:
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dtype: float16
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max_step_saves_to_keep: 3
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save_every: 500
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save_format: diffusers
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train:
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batch_size: 1
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dtype: bf16
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ema_config:
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ema_decay: 0.99
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use_ema: true
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gradient_accumulation_steps: 1
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gradient_checkpointing: true
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linear_timesteps: true
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loss_type: mse
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lr: 0.5
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noise_scheduler: flowmatch
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optimizer: prodigy
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reg_weight: 0.5
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steps: 3000
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target_noise_multiplier: 1.0
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train_text_encoder: false
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train_unet: true
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training_folder: /root/lorahub
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trigger_word: $pipocoin
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type: sd_trainer
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job: extension
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meta:
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description: Pipo memecoin with caption dataset
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pipocoin2.safetensors
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pipocoin2_000001500.safetensors
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pipocoin2_000002000.safetensors
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pipocoin2_000002500.safetensors
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