content.raw: ✨The STABLE IMAGINE !!✨
content.type: text
content.value: ✨The STABLE IMAGINE !!✨
content.type: new_line
content.raw: 🍺Space: 
content.type: text
content.value: 🍺Space: 
content.href: https://huggingface.co/spaces/prithivMLmods/STABLE-IMAGINE
content.raw: https://huggingface.co/spaces/prithivMLmods/STABLE-IMAGINE
content.type: link
content.type: new_line
content.raw: ↗️The specific LoRA in the space that requires appropriate trigger words brings good results.
content.type: text
content.value: ↗️The specific LoRA in the space that requires appropriate trigger words brings good results.
content.type: new_line
content.raw: 📒 Articles: 
content.type: text
content.value: 📒 Articles: 
content.href: https://huggingface.co/blog/prithivMLmods/lora-adp-01
content.raw: https://huggingface.co/blog/prithivMLmods/lora-adp-01
content.type: link
content.type: new_line
content.type: new_line
content.raw: **Description and Utility Functions **
content.type: text
content.value: **Description and Utility Functions **
content.type: new_line
content.raw: ✅ Most likely image generation  
content.type: text
content.value: ✅ Most likely image generation  
content.type: new_line
content.raw: ☑️ Most accurate trigger words expected  
content.type: text
content.value: ☑️ Most accurate trigger words expected  
content.type: new_line
content.raw: ✅ Each designed to capture different artistic elements  
content.type: text
content.value: ✅ Each designed to capture different artistic elements  
content.type: new_line
content.raw: ☑️ Specialized styles and characteristics  
content.type: text
content.value: ☑️ Specialized styles and characteristics  
content.type: new_line
content.raw: ✅ Flexible to design what is needed (keyword-centric)  
content.type: text
content.value: ✅ Flexible to design what is needed (keyword-centric)  
content.type: new_line
content.raw: ☑️ Increasing productivity
content.type: text
content.value: ☑️ Increasing productivity
content.type: new_line
content.type: new_line
content.raw: 🫙Repository: 
content.type: text
content.value: 🫙Repository: 
content.href: https://github.com/prithivsakthiur/gen-vision
content.raw: https://github.com/prithivsakthiur/gen-vision
content.type: link
content.type: new_line
content.raw: 📔Colab Link: 
content.type: text
content.value: 📔Colab Link: 
content.href: https://colab.research.google.com/drive/1axA0pU--32t4a8AHiVlt6zyl8gRfiXKs
content.raw: https://colab.research.google.com/drive/1axA0pU--32t4a8AHiVlt6zyl8gRfiXKs
content.type: link
content.type: new_line
content.raw: *️⃣Notebook: 
content.type: text
content.value: *️⃣Notebook: 
content.href: https://huggingface.co/spaces/prithivMLmods/STABLE-IMAGINE/blob/main/Gen_Vision.ipynb
content.raw: https://huggingface.co/spaces/prithivMLmods/STABLE-IMAGINE/blob/main/Gen_Vision.ipynb
content.type: link
content.type: new_line
content.type: new_line
content.code:  lora_options = {
          "Realism (face/character)": ("prithivMLmods/Canopus-Realism-LoRA", "Canopus-Realism-LoRA.safetensors", "rlms"),
          "Pixar (art/toons)": ("prithivMLmods/Canopus-Pixar-Art", "Canopus-Pixar-Art.safetensors", "pixar"),
          "Photoshoot (camera/film)": ("prithivMLmods/Canopus-Photo-Shoot-Mini-LoRA", "Canopus-Photo-Shoot-Mini-LoRA.safetensors", "photo"),
          "Clothing (hoodies/pant/shirts)": ("prithivMLmods/Canopus-Clothing-Adp-LoRA", "Canopus-Dress-Clothing-LoRA.safetensors", "clth"),
            }
            .
            .
            .
  for model_name, weight_name, adapter_name in lora_options.values():
      pipe.load_lora_weights(model_name, weight_name=weight_name, adapter_name=adapter_name)
  pipe.to("cuda")
content.raw: ```
   lora_options = {
          "Realism (face/character)": ("prithivMLmods/Canopus-Realism-LoRA", "Canopus-Realism-LoRA.safetensors", "rlms"),
          "Pixar (art/toons)": ("prithivMLmods/Canopus-Pixar-Art", "Canopus-Pixar-Art.safetensors", "pixar"),
          "Photoshoot (camera/film)": ("prithivMLmods/Canopus-Photo-Shoot-Mini-LoRA", "Canopus-Photo-Shoot-Mini-LoRA.safetensors", "photo"),
          "Clothing (hoodies/pant/shirts)": ("prithivMLmods/Canopus-Clothing-Adp-LoRA", "Canopus-Dress-Clothing-LoRA.safetensors", "clth"),
            }
            .
            .
            .
  for model_name, weight_name, adapter_name in lora_options.values():
      pipe.load_lora_weights(model_name, weight_name=weight_name, adapter_name=adapter_name)
  pipe.to("cuda")
  
  ```
content.type: code_fence
content.type: new_line
content.type: new_line
content.type: new_line
rawContent: ✨The STABLE IMAGINE !!✨
  🍺Space: https://huggingface.co/spaces/prithivMLmods/STABLE-IMAGINE
  ↗️The specific LoRA in the space that requires appropriate trigger words brings good results.
  📒 Articles: https://huggingface.co/blog/prithivMLmods/lora-adp-01
  
  **Description and Utility Functions **
  ✅ Most likely image generation  
  ☑️ Most accurate trigger words expected  
  ✅ Each designed to capture different artistic elements  
  ☑️ Specialized styles and characteristics  
  ✅ Flexible to design what is needed (keyword-centric)  
  ☑️ Increasing productivity
  
  🫙Repository: https://github.com/prithivsakthiur/gen-vision
  📔Colab Link: https://colab.research.google.com/drive/1axA0pU--32t4a8AHiVlt6zyl8gRfiXKs
  *️⃣Notebook: https://huggingface.co/spaces/prithivMLmods/STABLE-IMAGINE/blob/main/Gen_Vision.ipynb
  
  ```
   lora_options = {
          "Realism (face/character)": ("prithivMLmods/Canopus-Realism-LoRA", "Canopus-Realism-LoRA.safetensors", "rlms"),
          "Pixar (art/toons)": ("prithivMLmods/Canopus-Pixar-Art", "Canopus-Pixar-Art.safetensors", "pixar"),
          "Photoshoot (camera/film)": ("prithivMLmods/Canopus-Photo-Shoot-Mini-LoRA", "Canopus-Photo-Shoot-Mini-LoRA.safetensors", "photo"),
          "Clothing (hoodies/pant/shirts)": ("prithivMLmods/Canopus-Clothing-Adp-LoRA", "Canopus-Dress-Clothing-LoRA.safetensors", "clth"),
            }
            .
            .
            .
  for model_name, weight_name, adapter_name in lora_options.values():
      pipe.load_lora_weights(model_name, weight_name=weight_name, adapter_name=adapter_name)
  pipe.to("cuda")
  
  ```
  
  
  
commentators._id: 62e469312a8df5b22ff352ec
commentators.avatarUrl: https://cdn-avatars.huggingface.co/v1/production/uploads/62e469312a8df5b22ff352ec/aq0VvYABsAXT5jZYrZDK7.jpeg
commentators.fullname: Mr. Stack
commentators.name: Hatman
commentators.type: user