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histin116
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pose-control-lora

Text-to-Image
Diffusers
flux
flux-diffusers
control-lora
diffusers-training
lora
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End of training

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  1. README.md +44 -0
  2. checkpoint-4100/pytorch_lora_weights.safetensors +3 -0
  3. checkpoint-4100/random_states_0.pkl +3 -0
  4. checkpoint-4200/pytorch_lora_weights.safetensors +3 -0
  5. checkpoint-4200/random_states_0.pkl +3 -0
  6. checkpoint-4300/pytorch_lora_weights.safetensors +3 -0
  7. checkpoint-4300/random_states_0.pkl +3 -0
  8. checkpoint-4400/pytorch_lora_weights.safetensors +3 -0
  9. checkpoint-4400/random_states_0.pkl +3 -0
  10. checkpoint-4500/pytorch_lora_weights.safetensors +3 -0
  11. checkpoint-4500/random_states_0.pkl +3 -0
  12. checkpoint-4600/pytorch_lora_weights.safetensors +3 -0
  13. checkpoint-4600/random_states_0.pkl +3 -0
  14. checkpoint-4700/pytorch_lora_weights.safetensors +3 -0
  15. checkpoint-4700/random_states_0.pkl +3 -0
  16. checkpoint-4800/pytorch_lora_weights.safetensors +3 -0
  17. checkpoint-4800/random_states_0.pkl +3 -0
  18. checkpoint-4900/pytorch_lora_weights.safetensors +3 -0
  19. checkpoint-4900/random_states_0.pkl +3 -0
  20. checkpoint-5000/pytorch_lora_weights.safetensors +3 -0
  21. checkpoint-5000/random_states_0.pkl +3 -0
  22. pytorch_lora_weights.safetensors +3 -0
README.md 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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+ inference: true
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+ tags:
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+ - flux
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+ - flux-diffusers
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+ - text-to-image
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+ - diffusers
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+ - control-lora
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+ - diffusers-training
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+ - 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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+ # control-lora-histin116/pose-control-lora
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+
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+ These are Control LoRA weights trained on black-forest-labs/FLUX.1-dev with new type of conditioning.
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+
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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
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+ ```
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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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