End of training

.gitattributes

@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.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_2.png filter=lfs diff=lfs merge=lfs -text
+image_3.png filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,74 @@
+---
+base_model: stabilityai/stable-diffusion-xl-base-1.0
+library_name: diffusers
+license: openrail++
+tags:
+- text-to-image
+- text-to-image
+- diffusers-training
+- diffusers
+- lora
+- template:sd-lora
+- stable-diffusion-xl
+- stable-diffusion-xl-diffusers
+instance_prompt: an image of a Flatbread
+widget:
+- text: a photo of a Flatbread
+  output:
+    url: image_0.png
+- text: a photo of a Flatbread
+  output:
+    url: image_1.png
+- text: a photo of a Flatbread
+  output:
+    url: image_2.png
+- text: a photo of a Flatbread
+  output:
+    url: image_3.png
+---
+
+<!-- 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. -->
+
+
+# SDXL LoRA DreamBooth - aniketr/sdxl-lora-Flatbread
+
+<Gallery />
+
+## Model description
+
+These are aniketr/sdxl-lora-Flatbread LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0.
+
+The weights were trained  using [DreamBooth](https://dreambooth.github.io/).
+
+LoRA for the text encoder was enabled: False.
+
+Special VAE used for training: madebyollin/sdxl-vae-fp16-fix.
+
+## Trigger words
+
+You should use an image of a Flatbread to trigger the image generation.
+
+## Download model
+
+Weights for this model are available in Safetensors format.
+
+[Download](aniketr/sdxl-lora-Flatbread/tree/main) them in the Files & versions tab.
+
+
+
+## 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]

checkpoint-500/optimizer.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:aebbcfce0bd2ddf52990ec6b2e1f64e49579dcb7e9cf998201e84e756483a4c8
+size 47392882

checkpoint-500/pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eaf15dc44dc73be24b0a0f591b5bbfdc3c8af886e68c7a18a446066e577dda57
+size 23390424

checkpoint-500/random_states_0.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d7b98fcf425417cd6d39b8c950e57ba52706bd0edff9dceef304bc127df1e2d6
+size 15060

checkpoint-500/scheduler.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5a14cab18e3cf6bf4020ba19261b57bd47f02eb286b8412b0d80f0e1c055663a
+size 1000

pytorch_lora_weights.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:eaf15dc44dc73be24b0a0f591b5bbfdc3c8af886e68c7a18a446066e577dda57
+size 23390424