Text-to-Image
Diffusers
template:sd-lora
flux
lora
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  1. Andy_prodigy.safetensors +3 -0
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  5. README.md +49 -0
  6. config.yaml +70 -0
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Andy_prodigy.safetensors ADDED
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README.md ADDED
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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/1731689195016__000003000_0.jpg
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+ text: Andy sitting alone in the jungle crying [Andy_meme]
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+ - output:
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+ url: samples/1731689219830__000003000_1.jpg
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+ text: Trump dancing with an angry face next to Andy [Andy_meme]
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+ - output:
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+ url: samples/1731689244627__000003000_2.jpg
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+ text: An 8-bit super street fighter game with Andy vs Pepe [Andy_meme]
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+ - output:
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+ url: samples/1731689269417__000003000_3.jpg
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+ text: An exciting action scene featuring Andy [Andy_meme]
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+ - output:
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+ url: samples/1731689294228__000003000_4.jpg
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+ text: a Japanese anime dramatic scene with Andy and a human woman [Andy_meme]
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+ - output:
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+ url: samples/1731689319187__000003000_5.jpg
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+ text: Andy sitting and explaining life to a sad child [Andy_meme]
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+ base_model: black-forest-labs/FLUX.1-dev
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+ trigger: Andy_meme
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+ instance_prompt: Andy_meme
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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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+ # Andy_prodigy
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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 `Andy_meme` 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_Andy_prodigy/tree/main) them in the Files & versions tab.
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+
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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 ADDED
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+ config:
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+ name: Andy_prodigy
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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/Andy_prodigy/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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+ guidance_scale: 3.5
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+ height: 1024
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+ neg: ''
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+ prompts:
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+ - Andy sitting alone in the jungle crying [Andy_meme]
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+ - Trump dancing with an angry face next to Andy [Andy_meme]
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+ - An 8-bit super street fighter game with Andy vs Pepe [Andy_meme]
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+ - An exciting action scene featuring Andy [Andy_meme]
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+ - a Japanese anime dramatic scene with Andy and a human woman [Andy_meme]
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+ - Andy sitting and explaining life to a sad child [Andy_meme]
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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: Andy_meme
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+ type: sd_trainer
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+ job: extension
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+ meta:
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+ description: Andy meme coin charachter
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