End of training

README.md

@@ -3,34 +3,28 @@ base_model: black-forest-labs/FLUX.1-dev
 library_name: diffusers
 license: other
 widget:
-- text: >-
-    a bustling manga street, devoid of vehicles, detailed with vibrant colors
-    and dynamic line work, characters in the background adding life and
-    movement, under a soft golden hour light, with rich textures and a lively
-    atmosphere, high resolution, sharp focus
+- text: a bustling manga street, devoid of vehicles, detailed with vibrant colors
+    and dynamic line work, characters in the background adding life and movement,
+    under a soft golden hour light, with rich textures and a lively atmosphere, high
+    resolution, sharp focus
   output:
     url: images/example_v9pjueoq1.png
-- text: >-
-    Grainy shot of a robot cooking in the kitchen, with soft shadows and
-    nostalgic film texture.
+- text: Grainy shot of a robot cooking in the kitchen, with soft shadows and nostalgic
+    film texture.
   output:
     url: images/example_7rny6lj4p.png
-- text: >-
-    a boat in the canals of Venice, painted in gouache with soft, flowing
-    brushstrokes and vibrant, translucent colors, capturing the serene
-    reflection on the water under a misty ambiance, with rich textures and a
-    dynamic perspective
+- text: a boat in the canals of Venice, painted in gouache with soft, flowing brushstrokes
+    and vibrant, translucent colors, capturing the serene reflection on the water
+    under a misty ambiance, with rich textures and a dynamic perspective
   output:
     url: images/example_jx5b3cugc.png
-- text: >-
-    A vibrant orange poppy flower, enclosed in an ornate golden frame, against a
-    black backdrop, rendered in anime style with bold outlines, exaggerated
-    details, and a dramatic chiaroscuro lighting.
+- text: A vibrant orange poppy flower, enclosed in an ornate golden frame, against
+    a black backdrop, rendered in anime style with bold outlines, exaggerated details,
+    and a dramatic chiaroscuro lighting.
   output:
     url: images/example_tphrlr123.png
-- text: >-
-    Armored armadillo, detailed anatomy, precise shading, labeled diagram,
-    cross-section, high resolution.
+- text: Armored armadillo, detailed anatomy, precise shading, labeled diagram, cross-section,
+    high resolution.
   output:
     url: images/example_5cml5u298.png
 tags:
@@ -41,7 +35,13 @@ tags:
 - flux
 - flux-diffusers
 - template:sd-lora
-
+- 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

checkpoint-1000/README.md

@@ -0,0 +1,71 @@
+---
+base_model: black-forest-labs/FLUX.1-dev
+library_name: diffusers
+license: other
+widget: []
+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 - davidberenstein1957/image-preferences-flux-dev-lora
+
+<Gallery />
+
+## Model description
+
+These are davidberenstein1957/image-preferences-flux-schnell-lora DreamBooth LoRA weights for black-forest-labs/FLUX.1-schnell.
+
+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.
+
+## Trigger words
+
+You should use `` to trigger the image generation.
+
+## Download model
+
+[Download the *.safetensors LoRA](davidberenstein1957/image-preferences-flux-schnell-dev/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('davidberenstein1957/image-preferences-flux-dev-lora', weight_name='pytorch_lora_weights.safetensors')
+image = pipeline('').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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checkpoint-1500/README.md

@@ -0,0 +1,71 @@
+---
+base_model: black-forest-labs/FLUX.1-dev
+library_name: diffusers
+license: other
+widget: []
+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 - davidberenstein1957/image-preferences-flux-dev-lora
+
+<Gallery />
+
+## Model description
+
+These are davidberenstein1957/image-preferences-flux-schnell-lora DreamBooth LoRA weights for black-forest-labs/FLUX.1-schnell.
+
+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.
+
+## Trigger words
+
+You should use `` to trigger the image generation.
+
+## Download model
+
+[Download the *.safetensors LoRA](davidberenstein1957/image-preferences-flux-schnell-dev/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('davidberenstein1957/image-preferences-flux-dev-lora', weight_name='pytorch_lora_weights.safetensors')
+image = pipeline('').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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checkpoint-500/README.md

@@ -0,0 +1,71 @@
+---
+base_model: black-forest-labs/FLUX.1-dev
+library_name: diffusers
+license: other
+widget: []
+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 - davidberenstein1957/image-preferences-flux-dev-lora
+
+<Gallery />
+
+## Model description
+
+These are davidberenstein1957/image-preferences-flux-schnell-lora DreamBooth LoRA weights for black-forest-labs/FLUX.1-schnell.
+
+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.
+
+## Trigger words
+
+You should use `` to trigger the image generation.
+
+## Download model
+
+[Download the *.safetensors LoRA](davidberenstein1957/image-preferences-flux-schnell-dev/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('davidberenstein1957/image-preferences-flux-dev-lora', weight_name='pytorch_lora_weights.safetensors')
+image = pipeline('').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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