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Browse files- README.md +46 -0
- config.yaml +3 -3
- lora.safetensors +2 -2
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: BevzyukN
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---
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# Lora_Beast
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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 `BevzyukN` 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('kerk86/Lora_beast', 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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linear_alpha: 32
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save:
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dtype: float16
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save_every:
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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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- 1024
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train:
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batch_size: 1
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steps:
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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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quantize: true
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sample:
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sampler: flowmatch
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sample_every:
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width: 1024
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height: 1024
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prompts: []
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linear_alpha: 32
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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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- 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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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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lora.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:9ef3b923363acb2b64e74234444e65ea8eba1adaf25fcf56262e62dbd9b47770
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size 343805464
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