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Browse files- README.md +46 -0
- config.yaml +79 -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: m00nl4nd1ng
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---
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# Flux Moonlanding76 Replicate
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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 `m00nl4nd1ng` 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('davidrd123/Flux-MoonLanding76-Replicate', 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: m00nl4nd1ng
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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: 200
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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: 0.2
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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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train:
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batch_size: 1
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steps: 3000
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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: 200
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width: 1024
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height: 1024
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prompts:
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- A hamster in the style of m00nl4nd1ng
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- A steampunk-inspired hot air balloon floating over a cyberpunk cityscape at
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sunset, in the style of m00nl4nd1ng
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- A Victorian-era robot having a tea party with stuffed animals in a sunlit
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garden, in the style of m00nl4nd1ng
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- An astronaut skateboarding on the rings of Saturn, with the planet's surface
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visible below, in the style of m00nl4nd1ng
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- A jazz band of mythical creatures performing on a floating cloud stage, in
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the style of m00nl4nd1ng
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- A time-traveling DeLorean car emerging from a swirling portal in the middle
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of a medieval village, in the style of m00nl4nd1ng
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- A futuristic underwater city inside a giant glass dome, with submarines as
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public transportation, in the style of m00nl4nd1ng
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- A steampunk-style Rube Goldberg machine that makes breakfast, filling an entire
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Victorian kitchen, in the style of m00nl4nd1ng
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- A group of friendly aliens having a picnic on the moon, Earth visible in the
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background, in the style of m00nl4nd1ng
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- A gigantic clockwork heart powering a mechanical forest, with gears and springs
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as leaves and branches, in the style of m00nl4nd1ng
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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 sha256:8aebbbb738551fc816d9561d546afee60553ff6786901b1f349a8b01a88c49bd
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size 171969432
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