Instructions to use sridevshenoy/seetha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sridevshenoy/seetha with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("sridevshenoy/seetha") prompt = "UNICODE\u0000\u0000l\u0000o\u0000n\u0000g\u0000 \u0000s\u0000h\u0000o\u0000t\u0000 \u0000s\u0000c\u0000e\u0000n\u0000i\u0000c\u0000 \u0000p\u0000r\u0000o\u0000f\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000 \u0000o\u0000f\u0000 \u0000b\u0000o\u0000r\u0000s\u0000e\u0000 \u0000s\u0000i\u0000t\u0000t\u0000i\u0000n\u0000g\u0000 \u0000o\u0000n\u0000 \u0000b\u0000e\u0000d\u0000 \u0000,\u0000 \u0000w\u0000e\u0000a\u0000r\u0000i\u0000n\u0000g\u0000 \u0000r\u0000e\u0000d\u0000 \u0000s\u0000a\u0000r\u0000e\u0000e\u0000 \u0000l\u0000a\u0000u\u0000g\u0000h\u0000i\u0000n\u0000g\u0000,\u0000 \u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000b\u0000h\u0000a\u0000g\u0000y\u0000a\u0000s\u0000h\u0000r\u0000i\u0000-\u0000b\u0000o\u0000r\u0000s\u0000e\u0000-\u00000\u00000\u00000\u00000\u00000\u00008\u0000:\u00001\u0000>\u0000 \u0000,\u0000 \u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000 \u0000v\u0000i\u0000e\u0000w\u0000p\u0000o\u0000i\u0000n\u0000t\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000w\u0000i\u0000d\u0000e\u0000-\u0000a\u0000n\u0000g\u0000l\u0000e\u0000 \u0000l\u0000e\u0000n\u0000s\u0000,\u0000 \u0000h\u0000y\u0000p\u0000e\u0000r\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000d\u0000r\u0000a\u0000m\u0000a\u0000t\u0000i\u0000c\u0000 \u0000s\u0000k\u0000y\u0000,\u0000 \u0000p\u0000o\u0000l\u0000a\u0000r\u0000i\u0000z\u0000i\u0000n\u0000g\u0000 \u0000f\u0000i\u0000l\u0000t\u0000e\u0000r\u0000,\u0000 \u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000,\u0000 \u0000v\u0000i\u0000v\u0000i\u0000d\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000s\u0000,\u0000 \u0000e\u0000v\u0000e\u0000r\u0000y\u0000t\u0000h\u0000i\u0000n\u0000g\u0000 \u0000i\u0000n\u0000 \u0000s\u0000h\u0000a\u0000r\u0000p\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000H\u0000D\u0000R\u0000,\u0000 \u0000U\u0000H\u0000D\u0000,\u0000 \u00006\u00004\u0000K\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: "UNICODE\0\0l\0o\0n\0g\0 \0s\0h\0o\0t\0 \0s\0c\0e\0n\0i\0c\0 \0p\0r\0o\0f\0e\0s\0s\0i\0o\0n\0a\0l\0 \0p\0h\0o\0t\0o\0g\0r\0a\0p\0h\0 \0o\0f\0 \0b\0o\0r\0s\0e\0 \0s\0i\0t\0t\0i\0n\0g\0 \0o\0n\0 \0b\0e\0d\0 \0,\0 \0w\0e\0a\0r\0i\0n\0g\0 \0r\0e\0d\0 \0s\0a\0r\0e\0e\0 \0l\0a\0u\0g\0h\0i\0n\0g\0,\0 \0 \0<\0l\0o\0r\0a\0:\0b\0h\0a\0g\0y\0a\0s\0h\0r\0i\0-\0b\0o\0r\0s\0e\0-\00\00\00\00\00\08\0:\01\0>\0 \0,\0 \0p\0e\0r\0f\0e\0c\0t\0 \0v\0i\0e\0w\0p\0o\0i\0n\0t\0,\0 \0h\0i\0g\0h\0l\0y\0 \0d\0e\0t\0a\0i\0l\0e\0d\0,\0 \0w\0i\0d\0e\0-\0a\0n\0g\0l\0e\0 \0l\0e\0n\0s\0,\0 \0h\0y\0p\0e\0r\0 \0r\0e\0a\0l\0i\0s\0t\0i\0c\0,\0 \0w\0i\0t\0h\0 \0d\0r\0a\0m\0a\0t\0i\0c\0 \0s\0k\0y\0,\0 \0p\0o\0l\0a\0r\0i\0z\0i\0n\0g\0 \0f\0i\0l\0t\0e\0r\0,\0 \0n\0a\0t\0u\0r\0a\0l\0 \0l\0i\0g\0h\0t\0i\0n\0g\0,\0 \0v\0i\0v\0i\0d\0 \0c\0o\0l\0o\0r\0s\0,\0 \0e\0v\0e\0r\0y\0t\0h\0i\0n\0g\0 \0i\0n\0 \0s\0h\0a\0r\0p\0 \0f\0o\0c\0u\0s\0,\0 \0H\0D\0R\0,\0 \0U\0H\0D\0,\0 \06\04\0K\0" | |
| output: | |
| url: images/00001-921358365.jpeg | |
| base_model: black-forest-labs/FLUX.1-dev | |
| instance_prompt: Indian beauty, most beautiful and attractive, sexy body | |
| # seetha | |
| <Gallery /> | |
| ## Trigger words | |
| You should use `Indian beauty` to trigger the image generation. | |
| You should use `most beautiful and attractive` to trigger the image generation. | |
| You should use `sexy body` to trigger the image generation. | |
| ## Download model | |
| Weights for this model are available in Safetensors format. | |
| [Download](/sridevshenoy/seetha/tree/main) them in the Files & versions tab. | |