Upload 4 files

.gitattributes

@@ -0,0 +1,2 @@
+akshat.safetensors filter=lfs diff=lfs merge=lfs -text
+optimizer.pt filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,50 @@
+---
+tags:
+- text-to-image
+- flux
+- lora
+- diffusers
+- template:sd-lora
+- ai-toolkit
+widget:
+-   text: 'a person sitting in a cafe working on a screen '
+    output:
+        url: samples/1736594491197__000002000_0.jpg
+-   text: 'a person in suite in cafe '
+    output:
+        url: samples/1736594509686__000002000_1.jpg
+base_model: black-forest-labs/FLUX.1-dev
+instance_prompt: akshatmodel98
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
+---
+
+# akshat
+Model trained with [AI Toolkit by Ostris](https://github.com/ostris/ai-toolkit)
+<Gallery />
+
+## Trigger words
+
+You should use `akshatmodel98` to trigger the image generation.
+
+## Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
+
+Weights for this model are available in Safetensors format.
+
+[Download](/None/tree/main) them 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('None', weight_name='akshat')
+image = pipeline('a person sitting in a cafe working on a screen ').images[0]
+image.save("my_image.png")
+```
+
+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)
+

akshat.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5bd8f973ccaa2d60497c011e4e2b969a4a1da27d6188a719bfff16e3552c2516
+size 171969408

config.yaml

@@ -0,0 +1,65 @@
+job: extension
+config:
+  name: akshat
+  process:
+  - type: sd_trainer
+    training_folder: output
+    device: cuda:0
+    network:
+      type: lora
+      linear: 16
+      linear_alpha: 16
+    save:
+      dtype: float16
+      save_every: 10000
+      max_step_saves_to_keep: 4
+      push_to_hub: true
+      hf_private: true
+    datasets:
+    - folder_path: datasets/92fd4b6e-b71e-402e-8748-c6f427b56808
+      caption_ext: txt
+      caption_dropout_rate: 0.05
+      shuffle_tokens: false
+      cache_latents_to_disk: true
+      resolution:
+      - 512
+      - 768
+      - 1024
+    train:
+      batch_size: 1
+      steps: 2000
+      gradient_accumulation_steps: 1
+      train_unet: true
+      train_text_encoder: false
+      gradient_checkpointing: true
+      noise_scheduler: flowmatch
+      optimizer: adamw8bit
+      lr: 0.0004
+      ema_config:
+        use_ema: true
+        ema_decay: 0.99
+      dtype: bf16
+      skip_first_sample: true
+      disable_sampling: false
+    model:
+      name_or_path: black-forest-labs/FLUX.1-dev
+      is_flux: true
+      quantize: true
+      low_vram: false
+    sample:
+      sampler: flowmatch
+      sample_every: 1000
+      width: 1024
+      height: 1024
+      prompts:
+      - 'a person sitting in a cafe working on a screen '
+      - 'a person in suite in cafe '
+      neg: ''
+      seed: 42
+      walk_seed: true
+      guidance_scale: 3.5
+      sample_steps: 28
+    trigger_word: akshatmodel98
+meta:
+  name: akshat
+  version: '1.0'

optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1361d508f44a52548bf27b14ec069c7d38e5492f96e5bb9ac8169d8b166add29
+size 173272836