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  1. README.md +48 -0
  2. The_Thing.safetensors +3 -0
  3. The_Thing_000003000.safetensors +3 -0
  4. The_Thing_000003250.safetensors +3 -0
  5. The_Thing_000003500.safetensors +3 -0
  6. The_Thing_000003750.safetensors +3 -0
  7. config.yaml +66 -0
  8. optimizer.pt +3 -0
  9. samples/.ipynb_checkpoints/1740323942163__000000000_0-checkpoint.jpg +0 -0
  10. samples/.ipynb_checkpoints/1740327528027__000000250_0-checkpoint.jpg +0 -0
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  18. samples/.ipynb_checkpoints/1740412427389__000003500_0-checkpoint.jpg +0 -0
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README.md ADDED
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+ ---
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+ tags:
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+ - text-to-image
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+ - flux
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+ - lora
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+ - diffusers
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+ - template:sd-lora
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+ - ai-toolkit
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+ widget:
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+ - text: The Thing wearing a black and white tuxedo. He's in an office on a bright
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+ afternoon. [trigger]
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+ output:
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+ url: samples/1740419466944__000004000_0.jpg
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+ base_model: black-forest-labs/FLUX.1-dev
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+ instance_prompt: The_Thing
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+ license: creativeml-openrail-m
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+
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+
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+ ---
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+
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+ # The_Thing
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+ Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
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+ <Gallery />
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+
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+ ## Trigger words
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+
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+ You should use `The_Thing` to trigger the image generation.
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+
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+ ## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
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+
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+ Weights for this model are available in Safetensors format.
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+
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+ [Download](/ayanda13/The_Thing/tree/main) them in the Files & versions tab.
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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('/notebooks/ai-toolkit/black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
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+ pipeline.load_lora_weights('ayanda13/The_Thing', weight_name='The_Thing.safetensors')
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+ image = pipeline('The Thing wearing a black and white tuxedo. He's in an office on a bright afternoon. [trigger]').images[0]
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+ image.save("my_image.png")
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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)
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+
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+ job: extension
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+ config:
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+ name: The_Thing
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+ process:
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+ - type: sd_trainer
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+ training_folder: /notebooks/ai-toolkit/output
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+ device: cuda:0
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+ trigger_word: The_Thing
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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: 250
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+ max_step_saves_to_keep: 4
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+ push_to_hub: true
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+ hf_repo_id: ayanda13/The_Thing
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+ hf_private: 'true'
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+ datasets:
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+ - folder_path: /notebooks/ai-toolkit/dataset/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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+ - 720
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+ - 768
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+ - 1024
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+ - 1088
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+ train:
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+ batch_size: 16
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+ steps: 4000
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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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+ gradient_checkpointing: true
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+ noise_scheduler: flowmatch
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+ optimizer: adamw8bit
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+ lr: 0.0001
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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: /notebooks/ai-toolkit/black-forest-labs/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: 250
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+ width: 1280
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+ height: 720
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+ prompts:
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+ - The Thing wearing a black and white tuxedo. He's in an office on a bright
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+ afternoon. [trigger]
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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: 30
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+ meta:
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+ name: The_Thing
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+ version: '1.0'
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+ base_model: black-forest-labs/FLUX.1-dev
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