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README.md

@@ -1,73 +1,46 @@
 ---
 license: other
-library_name: diffusers
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+language:
+- en
 tags:
-- text-to-image
-- diffusers-training
+- flux
 - diffusers
 - lora
 - replicate
-- flux
-- flux-diffusers
-- template:sd-lora
-base_model: FLUX.1-dev
-instance_prompt: a photo of JTrudeau
-widget: []
+base_model: "black-forest-labs/FLUX.1-dev"
+pipeline_tag: text-to-image
+# widget:
+#   - text: >-
+#       prompt
+#     output:
+#       url: https://...
+instance_prompt: jtrudeau
 ---
 
-<!-- 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 - lumin8/jtrudeau
+# Jtrudeau
 
 <Gallery />
 
-## Model description
-
-These are lumin8/jtrudeau DreamBooth LoRA weights for FLUX.1-dev.
+Trained on Replicate using:
 
-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) on [Replicate](https://replicate.com/lucataco/diffusers-dreambooth-lora).
+https://replicate.com/ostris/flux-dev-lora-trainer/train
 
-Was LoRA for the text encoder enabled? False.
 
 ## Trigger words
+You should use `jtrudeau` to trigger the image generation.
 
-You should use `a photo of JTrudeau` to trigger the image generation.
-
-## Download model
-
-[Download the *.safetensors LoRA](lumin8/jtrudeau/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('lumin8/jtrudeau', weight_name='pytorch_lora_weights.safetensors')
-image = pipeline('a photo of JTrudeau').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
+pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.float16).to('cuda')
+pipeline.load_lora_weights('lumin8/jtrudeau', weight_name='lora.safetensors')
+image = pipeline('your prompt').images[0]
 ```
 
-#### Limitations and bias
-
-[TODO: provide examples of latent issues and potential remediations]
-
-## Training details
-
-[TODO: describe the data used to train the model]
+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)

config.yaml

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+job: custom_job
+config:
+  name: flux_train_replicate
+  process:
+  - type: custom_sd_trainer
+    training_folder: output
+    device: cuda:0
+    trigger_word: jtrudeau
+    network:
+      type: lora
+      linear: 50
+      linear_alpha: 50
+    save:
+      dtype: float16
+      save_every: 2001
+      max_step_saves_to_keep: 1
+    datasets:
+    - folder_path: input_images
+      caption_ext: txt
+      caption_dropout_rate: 0.05
+      shuffle_tokens: false
+      cache_latents_to_disk: false
+      cache_latents: true
+      resolution:
+      - 512
+      - 768
+      - 1024
+    train:
+      batch_size: 1
+      steps: 2000
+      gradient_accumulation_steps: 1
+      train_unet: true
+      train_text_encoder: false
+      content_or_style: balanced
+      gradient_checkpointing: true
+      noise_scheduler: flowmatch
+      optimizer: adamw8bit
+      lr: 0.0004
+      ema_config:
+        use_ema: true
+        ema_decay: 0.99
+      dtype: bf16
+    model:
+      name_or_path: FLUX.1-dev
+      is_flux: true
+      quantize: true
+    sample:
+      sampler: flowmatch
+      sample_every: 2001
+      width: 1024
+      height: 1024
+      prompts: []
+      neg: ''
+      seed: 42
+      walk_seed: true
+      guidance_scale: 3.5
+      sample_steps: 28
+meta:
+  name: flux_train_replicate
+  version: '1.0'

lora.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0eb067b58c7aed8cd836c3c1495ccfc8464ed07f26ffd19d6bfb65cddf0e3971
+size 537120512