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3d-icon-Flux-LoRA

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flux-diffusers
template:sd-lora
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  1. 3d-icon-Flux-LoRA_emb.safetensors +3 -0
  2. README.md +85 -0
  3. logs/dreambooth-flux-dev-lora-advanced/1735568051.6899648/events.out.tfevents.1735568051.gpuserver-14.827835.1 +3 -0
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  17. logs/dreambooth-flux-dev-lora-advanced/1735574460.775173/events.out.tfevents.1735574460.gpuserver-14.856866.1 +3 -0
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  19. logs/dreambooth-flux-dev-lora-advanced/1735574668.2935011/events.out.tfevents.1735574668.gpuserver-14.858252.1 +3 -0
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  21. logs/dreambooth-flux-dev-lora-advanced/1735574990.5713248/events.out.tfevents.1735574990.gpuserver-14.860016.1 +3 -0
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  27. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735568051.gpuserver-14.827835.0 +3 -0
  28. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735568916.gpuserver-14.831807.0 +3 -0
  29. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735569547.gpuserver-14.835448.0 +3 -0
  30. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735569786.gpuserver-14.837421.0 +3 -0
  31. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735570108.gpuserver-14.840330.0 +3 -0
  32. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735570348.gpuserver-14.841662.0 +3 -0
  33. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735570748.gpuserver-14.843533.0 +3 -0
  34. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735574460.gpuserver-14.856866.0 +3 -0
  35. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735574668.gpuserver-14.858252.0 +3 -0
  36. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735574990.gpuserver-14.860016.0 +3 -0
  37. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735610269.gpuserver-14.871398.0 +3 -0
  38. logs/dreambooth-flux-dev-lora-advanced/events.out.tfevents.1735610525.gpuserver-14.873358.0 +3 -0
  39. pytorch_lora_weights.safetensors +3 -0
3d-icon-Flux-LoRA_emb.safetensors ADDED
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+ ---
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+ base_model: black-forest-labs/FLUX.1-dev
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+ library_name: diffusers
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+ license: other
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+ instance_prompt: 3d icon in the style of <s0><s1>
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+ widget: []
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+ tags:
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+ - text-to-image
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+ - diffusers-training
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+ - diffusers
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+ - lora
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+ - flux
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+ - flux-diffusers
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+ - template:sd-lora
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the training script had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+
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+ # Flux DreamBooth LoRA - EEEric/3d-icon-Flux-LoRA
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+
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+ <Gallery />
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+
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+ ## Model description
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+
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+ These are EEEric/3d-icon-Flux-LoRA DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev.
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+
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+ The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [Flux diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_flux.md).
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+
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+ Was LoRA for the text encoder enabled? False.
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+
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+ Pivotal tuning was enabled: True.
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+
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+ ## Trigger words
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+
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+ To trigger image generation of trained concept(or concepts) replace each concept identifier in you prompt with the new inserted tokens:
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+
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+ to trigger concept `TOK` → use `<s0><s1>` in your prompt
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+
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+
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+
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+ ## Download model
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+
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+ [Download the *.safetensors LoRA](EEEric/3d-icon-Flux-LoRA/tree/main) 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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+ from huggingface_hub import hf_hub_download
53
+ from safetensors.torch import load_file
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+
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+ pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to('cuda')
56
+ pipeline.load_lora_weights('EEEric/3d-icon-Flux-LoRA', weight_name='pytorch_lora_weights.safetensors')
57
+ embedding_path = hf_hub_download(repo_id='EEEric/3d-icon-Flux-LoRA', filename='3d-icon-Flux-LoRA_emb.safetensors', repo_type="model")
58
+ state_dict = load_file(embedding_path)
59
+ pipeline.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>"], text_encoder=pipeline.text_encoder, tokenizer=pipeline.tokenizer)
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+
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+ image = pipeline('3d icon in the style of <s0><s1>').images[0]
62
+ ```
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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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+ ## License
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+
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+ Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md).
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+
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+
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+ ## Intended uses & limitations
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+
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+ #### How to use
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+
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+ ```python
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+ # TODO: add an example code snippet for running this diffusion pipeline
77
+ ```
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+
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+ #### Limitations and bias
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+
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+ [TODO: provide examples of latent issues and potential remediations]
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+
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+ ## Training details
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+
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+ [TODO: describe the data used to train the model]
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