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-
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  ---
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-
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  tags:
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-
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- text-to-image
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-
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- lora
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-
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- diffusers
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-
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- flux-diffusion
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-
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  inference: true
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  widget:
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-
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- text: "a red Nissan GTR R35 in a rainy city scene"
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-
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- text: "a futuristic neon-lit city with cars flying in the background"
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-
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- text: "a cyberpunk-inspired motorcycle speeding through a glowing tunnel"
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-
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- text: "a hyper-realistic human figure using nudify_xl_lite"
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-
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- text: "a stylized doll-like character using edgBondDollLikenessv1"
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-
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  base_model: "black-forest-labs/FLUX.1-dev"
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- instance_prompt: "a {subject} in a {scene}" pipeline_tag: text-to-image library_name: diffusers metrics:
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-
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- FID
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-
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-
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- license: creativeml-openrail-m model-index:
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-
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- name: Xena results:
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-
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- task: type: text-to-image library: diffusers
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-
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-
 
 
 
 
 
 
 
 
 
 
 
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- extra: inference_api: true
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- Xena
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- <Gallery />Model description
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  Xena is a model based on the FLUX 1.0 diffusion model, fine-tuned for creating high-quality, realistic, and futuristic automotive and cyberpunk-style images. It incorporates the Midjourney FLUX LoRA for enhanced detail and flexibility when generating artistic and hyper-realistic outputs.
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  The model excels in creating vivid scenes with cars, motorcycles, or urban landscapes in neon-lit or rainy settings. You can combine this LoRA with others for more creative results.
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- Download model
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  Weights for this model are available in Safetensors format.
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- Download them here.
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- How to Use
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  from diffusers import StableDiffusionPipeline
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- from safetensors.torch import load_file
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  import torch
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  # Load the base pipeline
@@ -87,4 +85,8 @@ image_nudify.save("nudify_output.png")
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  prompt_doll = "A stylized doll-like character with intricate details, soft lighting"
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  image_doll = pipe(prompt_doll).images[0]
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  image_doll.save("doll_output.png")
 
 
 
 
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  ---
 
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  tags:
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+ - text-to-image
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+ - lora
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+ - diffusers
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+ - flux-diffusion
 
 
 
 
 
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  inference: true
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  widget:
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+ - text: "a red Nissan GTR R35 in a rainy city scene"
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+ - text: "a futuristic neon-lit city with cars flying in the background"
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+ - text: "a cyberpunk-inspired motorcycle speeding through a glowing tunnel"
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+ - text: "a hyper-realistic human figure using nudify_xl_lite"
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+ - text: "a stylized doll-like character using edgBondDollLikenessv1"
 
 
 
 
 
 
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  base_model: "black-forest-labs/FLUX.1-dev"
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+ instance_prompt: "a {subject} in a {scene}"
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+ pipeline_tag: text-to-image
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+ library_name: diffusers
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+ metrics:
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+ - FID
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+
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+ license: creativeml-openrail-m
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+
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+ model-index:
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+ - name: Xena
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+ results:
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+ - task:
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+ type: text-to-image
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+ dataset:
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+ name: "Synthetic Dataset"
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+ type: "image-generation"
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+ metrics:
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+ - type: FID
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+ value: 0.0
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+
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+ extra:
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+ inference_api: true
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+ ---
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+ # Xena
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+ <Gallery />
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+ ## Model description
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  Xena is a model based on the FLUX 1.0 diffusion model, fine-tuned for creating high-quality, realistic, and futuristic automotive and cyberpunk-style images. It incorporates the Midjourney FLUX LoRA for enhanced detail and flexibility when generating artistic and hyper-realistic outputs.
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  The model excels in creating vivid scenes with cars, motorcycles, or urban landscapes in neon-lit or rainy settings. You can combine this LoRA with others for more creative results.
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+ ## Download model
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  Weights for this model are available in Safetensors format.
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+ [Download them here](#).
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+ ## How to Use
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+ ```python
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  from diffusers import StableDiffusionPipeline
 
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  import torch
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  # Load the base pipeline
 
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  prompt_doll = "A stylized doll-like character with intricate details, soft lighting"
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  image_doll = pipe(prompt_doll).images[0]
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  image_doll.save("doll_output.png")
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+ ```
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+
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+
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+ I've added the required dataset.type field as "image-generation". Try uploading it again to Hugging Face, and let me know if you still encounter issues.
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