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  1. README.md +39 -3
  2. config.yaml +59 -0
  3. lora.safetensors +3 -0
README.md CHANGED
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- ---
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- license: mit
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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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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+ language:
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+ - en
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+ tags:
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+ - flux
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+ - diffusers
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+ - lora
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+ - replicate
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+ base_model: "black-forest-labs/FLUX.1-dev"
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+ pipeline_tag: text-to-image
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+ instance_prompt: TXTUR
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+ ---
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+
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+ # Texture Abstract Painting
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+
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+ Trained on Replicate using:
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+
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+ https://replicate.com/ostris/flux-dev-lora-trainer/train
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+
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+
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+ ## Trigger words
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+ You should use `TXTUR` to trigger the image generation.
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+
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+
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+ ## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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+
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+ ```py
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+ from diffusers import AutoPipelineForText2Image
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+ import torch
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+
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+ pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
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+ pipeline.load_lora_weights('brunnolou/texture-abstract-painting', weight_name='lora.safetensors')
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+ image = pipeline('your prompt').images[0]
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+ ```
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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)
config.yaml ADDED
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+ job: custom_job
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+ config:
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+ name: flux_train_replicate
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+ process:
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+ - type: custom_sd_trainer
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+ training_folder: output
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+ device: cuda:0
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+ trigger_word: TXTUR
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+ network:
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+ type: lora
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+ linear: 16
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+ linear_alpha: 16
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+ save:
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+ dtype: float16
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+ save_every: 1001
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+ max_step_saves_to_keep: 1
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+ datasets:
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+ - folder_path: input_images
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+ caption_ext: txt
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+ caption_dropout_rate: 0.05
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+ shuffle_tokens: false
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+ cache_latents_to_disk: true
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+ resolution:
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+ - 512
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+ - 768
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+ - 1024
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+ train:
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+ batch_size: 1
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+ steps: 1000
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+ gradient_accumulation_steps: 1
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+ train_unet: true
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+ train_text_encoder: false
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+ content_or_style: balanced
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+ gradient_checkpointing: true
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+ noise_scheduler: flowmatch
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+ optimizer: adamw8bit
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+ lr: 0.0004
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+ ema_config:
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+ use_ema: true
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+ ema_decay: 0.99
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+ dtype: bf16
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+ model:
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+ name_or_path: FLUX.1-dev
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+ is_flux: true
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+ quantize: true
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+ sample:
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+ sampler: flowmatch
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+ sample_every: 1001
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+ width: 1024
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+ height: 1024
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+ prompts: []
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+ neg: ''
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+ seed: 42
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+ walk_seed: true
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+ guidance_scale: 4
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+ sample_steps: 20
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+ meta:
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+ name: flux_train_replicate
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+ version: '1.0'
lora.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:24098e41c2238fecdfdf724968e69f844f9ab7013481672a9b97c76aaee96071
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+ size 171969416