End of training

README.md

@@ -0,0 +1,71 @@
+---
+base_model: black-forest-labs/FLUX.2-klein-9B
+library_name: diffusers
+license: other
+widget: []
+tags:
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- flux2
+- flux2-diffusers
+- template:sd-lora
+---
+
+<!-- This model card has been generated automatically according to the information the training script had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+
+# Flux.2 [Klein] DreamBooth LoRA - linoyts/flux2-klein-lora-test
+
+<Gallery />
+
+## Model description
+
+These are linoyts/flux2-klein-lora-test DreamBooth LoRA weights for black-forest-labs/FLUX.2-klein-9B.
+
+The weights were trained using [DreamBooth](https://dreambooth.github.io/) with the [Flux2 diffusers trainer](https://github.com/huggingface/diffusers/blob/main/examples/dreambooth/README_flux2.md).
+
+FP8 training? False
+
+## Trigger words
+
+You should use `None` to trigger the image generation.
+
+## Download model
+
+[Download the *.safetensors LoRA](linoyts/flux2-klein-lora-test/tree/main) in the Files & versions tab.
+
+## Use it with the [🧨 diffusers library](https://github.com/huggingface/diffusers)
+
+```py
+from diffusers import AutoPipelineForText2Image
+import torch
+pipeline = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.2", torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('linoyts/flux2-klein-lora-test', weight_name='pytorch_lora_weights.safetensors')
+image = pipeline('None').images[0]
+```
+
+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)
+
+## License
+
+Please adhere to the licensing terms as described [here](https://huggingface.co/black-forest-labs/FLUX.2/blob/main/LICENSE.md).
+
+
+## Intended uses & limitations
+
+#### How to use
+
+```python
+# TODO: add an example code snippet for running this diffusion pipeline
+```
+
+#### Limitations and bias
+
+[TODO: provide examples of latent issues and potential remediations]
+
+## Training details
+
+[TODO: describe the data used to train the model]

pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:68773b9c6ea7c4a670106b1f3ac77b2576f103e4f86810ca823f2a3a892e9c33
+size 222323112