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Update README.md

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@@ -21,6 +21,12 @@ widget: []
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  FLUX.1 [dev] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions.
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  ## Model description
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  These are LoRA adaption weights for the FLUX.1 [dev] model (```black-forest-labs/FLUX.1-dev```). This is a gated model, you must first get access to it before loading this LoRA adapter.
@@ -90,12 +96,14 @@ repo_id = 'lamm-mit/leaf-FLUX.1-dev'
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  pipeline = FluxPipeline.from_pretrained(
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  "black-forest-labs/FLUX.1-dev",
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  torch_dtype=torch.bfloat16,
 
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  )
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  pipeline.load_lora_weights(repo_id, )
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  pipeline=pipeline.to('cuda')
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  ```
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-
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  Image generation:
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  ```python
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  all_images.extend(image)
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- grid = image_grid(all_images, num_rows, num_samples, ave_individual_files=True, )
 
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  grid
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  ```
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  FLUX.1 [dev] is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions.
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+ Install ```diffusers```
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+
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+ ```raw
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+ pip install -U diffusers
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+ ```
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+
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  ## Model description
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  These are LoRA adaption weights for the FLUX.1 [dev] model (```black-forest-labs/FLUX.1-dev```). This is a gated model, you must first get access to it before loading this LoRA adapter.
 
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  pipeline = FluxPipeline.from_pretrained(
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  "black-forest-labs/FLUX.1-dev",
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  torch_dtype=torch.bfloat16,
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+ max_sequence_length=512,
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  )
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+ #pipeline.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Comment out if you have enough GPU VRAM
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+
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  pipeline.load_lora_weights(repo_id, )
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  pipeline=pipeline.to('cuda')
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  ```
 
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  Image generation:
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  ```python
 
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  all_images.extend(image)
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+ grid = image_grid(all_images, num_rows, num_samples,
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+ save_individual_files=True, )
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  grid
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  ```
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+ ![Uploading image_grid_20240902_063338.png…]()