Post
2121
✨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
🍺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")