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  # OpenDalle
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  <Gallery />
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- NOTE: This is outdated! newest version 1.1 can be found here! https://huggingface.co/dataautogpt3/OpenDalleV1.1
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  I'm thrilled to share an update on a recent project of mine. After some dedicated work, I've developed a highly effective text-to-image model. This innovation results from integrating the DPO model from Hugging Face with several advanced counterparts, including Juggernaut7XL, ALBEDOXL, MEARGEHEAVEN, and a model of my own design. The outcome is a unique fusion that showcases exceptional prompt adherence and semantic understanding, it seems to be a step above base SDXL and a step closer to DALLE-3 in terms of prompt comprehension. Notably, this model excels in interpreting and adhering to the given prompts, focusing more on semantic accuracy than on ultra-high-fidelity image generation.
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  also available on ```https://civitai.com/models/238116/opendalle ```
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- V1.1 has been released please see the note at the top of this repo or click on my profile!
 
 
 
 
 
 
 
 
 
 
 
 
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  ## `*.safetensors` for AUTOMATIC1111, ComfyUI, InvokeAI
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  [Download *.safetensors file](https://huggingface.co/dataautogpt3/OpenDalle/resolve/main/OpenDalle.safetensors?download=true)
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  ## Use it with 🧨 diffusers
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  ```python
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  from diffusers import AutoPipelineForText2Image
 
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  # OpenDalle
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  <Gallery />
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+ ## NOTE: This is outdated! newest version 1.1 can be found here! https://huggingface.co/dataautogpt3/OpenDalleV1.1
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  I'm thrilled to share an update on a recent project of mine. After some dedicated work, I've developed a highly effective text-to-image model. This innovation results from integrating the DPO model from Hugging Face with several advanced counterparts, including Juggernaut7XL, ALBEDOXL, MEARGEHEAVEN, and a model of my own design. The outcome is a unique fusion that showcases exceptional prompt adherence and semantic understanding, it seems to be a step above base SDXL and a step closer to DALLE-3 in terms of prompt comprehension. Notably, this model excels in interpreting and adhering to the given prompts, focusing more on semantic accuracy than on ultra-high-fidelity image generation.
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  also available on ```https://civitai.com/models/238116/opendalle ```
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+ ## Settings for OpenDalle v1.0
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+ Use these settings for the best results with OpenDalle v1.0:
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+ CFG Scale: Use a CFG scale of 8 to 7
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+ Steps: 60 to 70 steps for more detail, 35 steps for faster results.
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+ Sampler: DPM2
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+ Scheduler: Normal or Karras
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+ Negative Prompts: Avoid using negative prompts for better-quality images.
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  ## `*.safetensors` for AUTOMATIC1111, ComfyUI, InvokeAI
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  [Download *.safetensors file](https://huggingface.co/dataautogpt3/OpenDalle/resolve/main/OpenDalle.safetensors?download=true)
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  ## Use it with 🧨 diffusers
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  ```python
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  from diffusers import AutoPipelineForText2Image