End of training
Browse filesThis view is limited to 50 files because it contains too many changes. See raw diff
- README.md +72 -0
- checkpoint-1000/optimizer.bin +3 -0
- checkpoint-1000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1000/random_states_0.pkl +3 -0
- checkpoint-1000/scheduler.bin +3 -0
- checkpoint-10000/optimizer.bin +3 -0
- checkpoint-10000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-10000/random_states_0.pkl +3 -0
- checkpoint-10000/scheduler.bin +3 -0
- checkpoint-10500/optimizer.bin +3 -0
- checkpoint-10500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-10500/random_states_0.pkl +3 -0
- checkpoint-10500/scheduler.bin +3 -0
- checkpoint-11000/optimizer.bin +3 -0
- checkpoint-11000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-11000/random_states_0.pkl +3 -0
- checkpoint-11000/scheduler.bin +3 -0
- checkpoint-11500/optimizer.bin +3 -0
- checkpoint-11500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-11500/random_states_0.pkl +3 -0
- checkpoint-11500/scheduler.bin +3 -0
- checkpoint-12000/optimizer.bin +3 -0
- checkpoint-12000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-12000/random_states_0.pkl +3 -0
- checkpoint-12000/scheduler.bin +3 -0
- checkpoint-12500/optimizer.bin +3 -0
- checkpoint-12500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-12500/random_states_0.pkl +3 -0
- checkpoint-12500/scheduler.bin +3 -0
- checkpoint-13000/optimizer.bin +3 -0
- checkpoint-13000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-13000/random_states_0.pkl +3 -0
- checkpoint-13000/scheduler.bin +3 -0
- checkpoint-13500/optimizer.bin +3 -0
- checkpoint-13500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-13500/random_states_0.pkl +3 -0
- checkpoint-13500/scheduler.bin +3 -0
- checkpoint-14000/optimizer.bin +3 -0
- checkpoint-14000/pytorch_lora_weights.safetensors +3 -0
- checkpoint-14000/random_states_0.pkl +3 -0
- checkpoint-14000/scheduler.bin +3 -0
- checkpoint-14500/optimizer.bin +3 -0
- checkpoint-14500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-14500/random_states_0.pkl +3 -0
- checkpoint-14500/scheduler.bin +3 -0
- checkpoint-1500/optimizer.bin +3 -0
- checkpoint-1500/pytorch_lora_weights.safetensors +3 -0
- checkpoint-1500/random_states_0.pkl +3 -0
- checkpoint-1500/scheduler.bin +3 -0
- checkpoint-15000/optimizer.bin +3 -0
README.md
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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: a photo of xjiminx
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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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<!-- 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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# Flux DreamBooth LoRA - xgemstarx/subset_8_step_16384_model
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<Gallery />
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## Model description
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These are xgemstarx/subset_8_step_16384_model DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev.
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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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Was LoRA for the text encoder enabled? False.
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## Trigger words
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You should use `a photo of xjiminx` to trigger the image generation.
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## Download model
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[Download the *.safetensors LoRA](xgemstarx/subset_8_step_16384_model/tree/main) in the Files & versions tab.
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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.bfloat16).to('cuda')
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pipeline.load_lora_weights('xgemstarx/subset_8_step_16384_model', weight_name='pytorch_lora_weights.safetensors')
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image = pipeline('a photo of xjiminx').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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## License
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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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## Intended uses & limitations
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#### How to use
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```python
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# TODO: add an example code snippet for running this diffusion pipeline
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```
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#### Limitations and bias
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[TODO: provide examples of latent issues and potential remediations]
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## Training details
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[TODO: describe the data used to train the model]
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