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@@ -33,3 +33,8 @@ 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
+text_encoder/model.neuron filter=lfs diff=lfs merge=lfs -text
+text_encoder_2/model.neuron filter=lfs diff=lfs merge=lfs -text
+unet/model.neuron filter=lfs diff=lfs merge=lfs -text
+vae_decoder/model.neuron filter=lfs diff=lfs merge=lfs -text
+vae_encoder/model.neuron filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,55 @@
+---
+license: openrail++
+tags:
+- text-to-image
+- stable-diffusion
+- inferentia2
+- neuron
+---
+# Neuronx model for [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
+
+This repository contains are AWS Inferentia2 and neuronx compatible checkpoint for [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0). You can find detailed information about the base model on its [Model Card](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0).
+
+## Usage on Amazon SageMaker
+
+_coming soon_
+
+## Usage with optimum-neuron
+
+```python
+from optimum.neuron import NeuronStableDiffusionXLPipeline
+
+# Load pipeline from Hugging Face repository
+pipeline = NeuronStableDiffusionXLPipeline.from_pretrained(model_dir, device_ids=[0, 1])
+
+# prompt for generating images
+prompt = "a photo of an astronaut riding a horse on mars"
+# generate image
+image = stable_diffusion(prompt).images[0]
+image.save("generated_image.jpg")
+```
+
+## Compilation Arguments
+
+**compilation arguments**
+
+```json
+{
+  "auto_cast": "all",
+  "auto_cast_type": "bf16"
+}
+```
+
+**input_shapes**
+
+```json
+{
+  "height": 1024,
+  "width": 1024,
+  "num_images_per_prompt": 1,
+  "batch_size": 1
+}
+```
+
+
+

model_index.json

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+  "_class_name": "NeuronStableDiffusionXLPipeline",
+  "_diffusers_version": "0.20.2",
+  "add_watermarker": null,
+  "force_zeros_for_empty_prompt": true,
+  "scheduler": [
+    "diffusers",
+    "EulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "optimum",
+    "NeuronModelTextEncoder"
+  ],
+  "text_encoder_2": [
+    "optimum",
+    "NeuronModelTextEncoder"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "optimum",
+    "NeuronModelUnet"
+  ],
+  "vae_decoder": [
+    "optimum",
+    "NeuronModelVaeDecoder"
+  ],
+  "vae_encoder": [
+    "optimum",
+    "NeuronModelVaeEncoder"
+  ]
+}

scheduler/scheduler_config.json

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+  "_diffusers_version": "0.20.2",
+  "beta_end": 0.012,
+  "beta_schedule": "scaled_linear",
+  "beta_start": 0.00085,
+  "clip_sample": false,
+  "interpolation_type": "linear",
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "sample_max_value": 1.0,
+  "set_alpha_to_one": false,
+  "skip_prk_steps": true,
+  "steps_offset": 1,
+  "timestep_spacing": "leading",
+  "trained_betas": null,
+  "use_karras_sigmas": false
+}

text_encoder/config.json

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+{
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+  "_name_or_path": "/home/ubuntu/.cache/huggingface/hub/models--stabilityai--stable-diffusion-xl-base-1.0/snapshots/462165984030d82259a11f4367a4eed129e94a7b/text_encoder",
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+    "CLIPTextModel"
+  ],
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+  "hidden_act": "quick_gelu",
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+  "initializer_factor": 1.0,
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+  "model_type": "clip-text-model",
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+  "task": "feature-extraction",
+  "torch_dtype": "float16",
+  "torchscript": true,
+  "transformers_version": "4.32.0.dev0",
+  "vocab_size": 49408
+}

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text_encoder_2/config.json

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tokenizer/special_tokens_map.json

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tokenizer/tokenizer_config.json

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tokenizer_2/special_tokens_map.json

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unet/config.json

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