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Browse files- README.md +46 -0
- config.yaml +89 -0
- lora.safetensors +3 -0
README.md
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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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# widget:
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# - text: >-
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# prompt
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# output:
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# url: https://...
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instance_prompt: Printemps
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---
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# Fx Dv Lr Prt Frt
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<Gallery />
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Trained on Replicate using:
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https://replicate.com/ostris/flux-dev-lora-trainer/train
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## Trigger words
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You should use `Printemps` to trigger the image generation.
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## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
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```py
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from diffusers import AutoPipelineForText2Image
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import torch
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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('ell-hol/fx-dv-lr-prt-frt', weight_name='lora.safetensors')
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image = pipeline('your prompt').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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config.yaml
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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: Printemps
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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: 100
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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: false
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cache_latents: 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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- 1440
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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: 100
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width: 1024
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height: 1024
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prompts:
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- A lively daytime street view of the iconic Printemps Store front in Paris,
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France, featuring its grand architecture with a classical French style. The
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facade is adorned with intricate details such as golden embellishments, large
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arched windows, and elegant columns. Pedestrians walk along the bustling sidewalk,
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with some admiring the storefront's luxurious displays. Vibrant flowers and
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greenery are arranged near the entrance, complementing the chic design. The
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sky is clear and blue, adding brightness and contrast to the refined architecture.
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- A twilight scene showcasing the majestic Printemps Store front illuminated
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by golden lights, emphasizing its ornate details and classic Haussmannian
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architecture. The building's large glass windows display high-end fashion
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items, while the iconic dome on the roof reflects the soft hues of the sunset.
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A vintage street lamp and Parisian cobblestone street enhance the ambiance,
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with a few well-dressed individuals strolling by. The overall atmosphere is
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elegant and timeless, highlighting the luxury of the store.
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- A festive holiday evening at the Printemps Store front, with dazzling Christmas
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lights and decorations adorning the facade. The display windows feature enchanting
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seasonal designs, drawing attention from a crowd of shoppers wrapped in cozy
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winter clothing. Snow gently falls, covering the cobblestone street in a soft
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white layer. The grand architecture of the building stands out against the
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dark winter sky, glowing warmly from decorative lights and a large holiday
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wreath above the entrance.
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- A summer afternoon view of the Printemps Store front on a sunny day, showcasing
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its elegant facade with golden accents and large glass windows. The street
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is lively with tourists and shoppers carrying designer bags. Flower vendors
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set up colorful stalls nearby, adding to the vibrant energy of the scene.
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The store's famous rooftop dome is visible, glistening in the sunlight. Trees
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line the street, their green foliage providing a touch of nature to the luxurious
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urban setting.
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neg: ''
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seed: 42
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walk_seed: true
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guidance_scale: 3.5
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sample_steps: 28
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meta:
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name: flux_train_replicate
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version: '1.0'
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lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:01b658c91d4466c6ccfbeaf36f2caee80c26a0ff46cd248a934bd0cb987ac755
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size 171969424
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