End of training

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+image_0.png filter=lfs diff=lfs merge=lfs -text
+image_1.png filter=lfs diff=lfs merge=lfs -text
+image_2.png filter=lfs diff=lfs merge=lfs -text
+image_3.png filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+base_model: black-forest-labs/FLUX.1-dev
+library_name: diffusers
+license: other
+instance_prompt: p3rs0nl0ra
+widget:
+- text: p3rs0nl0ra woman in a sparkling pink dress with thin straps, fluffy white
+    angel wings, glowing halo above her head, neon pink lighting, playful and festive
+    atmosphere, arcade-like background with decorative pink elements, colorful nightlife
+    setting
+  output:
+    url: image_0.png
+- text: p3rs0nl0ra woman in a sparkling pink dress with thin straps, fluffy white
+    angel wings, glowing halo above her head, neon pink lighting, playful and festive
+    atmosphere, arcade-like background with decorative pink elements, colorful nightlife
+    setting
+  output:
+    url: image_1.png
+- text: p3rs0nl0ra woman in a sparkling pink dress with thin straps, fluffy white
+    angel wings, glowing halo above her head, neon pink lighting, playful and festive
+    atmosphere, arcade-like background with decorative pink elements, colorful nightlife
+    setting
+  output:
+    url: image_2.png
+- text: p3rs0nl0ra woman in a sparkling pink dress with thin straps, fluffy white
+    angel wings, glowing halo above her head, neon pink lighting, playful and festive
+    atmosphere, arcade-like background with decorative pink elements, colorful nightlife
+    setting
+  output:
+    url: image_3.png
+tags:
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- flux
+- flux-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 DreamBooth LoRA - unknownmixorgacc/alisa-cropped-masked-cosine-rank16-default-0warmup
+
+<Gallery />
+
+## Model description
+
+These are unknownmixorgacc/alisa-cropped-masked-cosine-rank16-default-0warmup DreamBooth LoRA weights for black-forest-labs/FLUX.1-dev.
+
+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).
+
+Was LoRA for the text encoder enabled? False.
+
+Pivotal tuning was enabled: False.
+
+## Trigger words
+
+You should use p3rs0nl0ra to trigger the image generation.
+
+## Download model
+
+[Download the *.safetensors LoRA](unknownmixorgacc/alisa-cropped-masked-cosine-rank16-default-0warmup/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.1-dev", torch_dtype=torch.bfloat16).to('cuda')
+pipeline.load_lora_weights('unknownmixorgacc/alisa-cropped-masked-cosine-rank16-default-0warmup', weight_name='pytorch_lora_weights.safetensors')
+
+image = pipeline('p3rs0nl0ra woman in a sparkling pink dress with thin straps, fluffy white angel wings, glowing halo above her head, neon pink lighting, playful and festive atmosphere, arcade-like background with decorative pink elements, colorful nightlife setting').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.1-dev/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]

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