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README.md

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+---
+license: other
+pipeline_tag: text-to-image
+tags:
+- text-to-image
+- turbo
+- stable-diffusion
+- stable-diffusion-xl
+- dpo
+widget:
+  - text: 'rusty robot cartoon'
+    output:
+      url: dpo_turbo_robot.jpeg
+inference:
+  parameters:
+    num_inference_steps: 8
+---
+
+## Merge of SDXL Turbo & SDXL DPO
+
+<Gallery />
+
+Read their licences before using it.
+
+## `*.safetensors` for AUTOMATIC1111, ComfyUI, InvokeAI
+[Download *.safetensors file](https://huggingface.co/thibaud/sdxl_dpo_turbo/resolve/main/sdxl_dpo_turbo.safetensors?download=true)
+
+## Use it with 🧨 diffusers
+```python
+from diffusers import AutoPipelineForText2Image
+import torch
+        
+pipeline = AutoPipelineForText2Image.from_pretrained('thibaud/sdxl_dpo_turbo', torch_dtype=torch.float16).to('cuda')        
+image = pipeline('A mecha robot in a favela', num_inference_steps=2).images[0]
+```

model_index.json

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+{
+  "_class_name": "StableDiffusionXLPipeline",
+  "_diffusers_version": "0.22.0.dev0",
+  "force_zeros_for_empty_prompt": true,
+  "scheduler": [
+    "diffusers",
+    "EulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "CLIPTextModelWithProjection"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}

sdxl_dpo_turbo.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5131a84f8013fbf566edf93752ea27099d7870c0474fda58aeedc0c283078b83
+size 6939226994