Instructions to use ChandrilBasu/Faiz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ChandrilBasu/Faiz 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("ChandrilBasu/Faiz") prompt = "UNICODE\u0000{\u0000\"\u0000r\u0000e\u0000m\u0000i\u0000x\u0000_\u0000d\u0000a\u0000t\u0000a\u0000\"\u0000:\u0000[\u0000]\u0000,\u0000\"\u0000r\u0000e\u0000m\u0000i\u0000x\u0000_\u0000e\u0000n\u0000t\u0000r\u0000y\u0000_\u0000p\u0000o\u0000i\u0000n\u0000t\u0000\"\u0000:\u0000\"\u0000c\u0000h\u0000a\u0000l\u0000l\u0000e\u0000n\u0000g\u0000e\u0000s\u0000\"\u0000,\u0000\"\u0000s\u0000o\u0000u\u0000r\u0000c\u0000e\u0000_\u0000t\u0000a\u0000g\u0000s\u0000\"\u0000:\u0000[\u0000\"\u0000l\u0000o\u0000c\u0000a\u0000l\u0000\"\u0000]\u0000,\u0000\"\u0000o\u0000r\u0000i\u0000g\u0000i\u0000n\u0000\"\u0000:\u0000\"\u0000u\u0000n\u0000k\u0000n\u0000o\u0000w\u0000n\u0000\"\u0000,\u0000\"\u0000t\u0000o\u0000t\u0000a\u0000l\u0000_\u0000d\u0000r\u0000a\u0000w\u0000_\u0000t\u0000i\u0000m\u0000e\u0000\"\u0000:\u00000\u0000,\u0000\"\u0000t\u0000o\u0000t\u0000a\u0000l\u0000_\u0000d\u0000r\u0000a\u0000w\u0000_\u0000a\u0000c\u0000t\u0000i\u0000o\u0000n\u0000s\u0000\"\u0000:\u00000\u0000,\u0000\"\u0000l\u0000a\u0000y\u0000e\u0000r\u0000s\u0000_\u0000u\u0000s\u0000e\u0000d\u0000\"\u0000:\u00000\u0000,\u0000\"\u0000b\u0000r\u0000u\u0000s\u0000h\u0000e\u0000s\u0000_\u0000u\u0000s\u0000e\u0000d\u0000\"\u0000:\u00000\u0000,\u0000\"\u0000p\u0000h\u0000o\u0000t\u0000o\u0000s\u0000_\u0000a\u0000d\u0000d\u0000e\u0000d\u0000\"\u0000:\u00000\u0000,\u0000\"\u0000t\u0000o\u0000t\u0000a\u0000l\u0000_\u0000e\u0000d\u0000i\u0000t\u0000o\u0000r\u0000_\u0000a\u0000c\u0000t\u0000i\u0000o\u0000n\u0000s\u0000\"\u0000:\u0000{\u0000}\u0000,\u0000\"\u0000t\u0000o\u0000o\u0000l\u0000s\u0000_\u0000u\u0000s\u0000e\u0000d\u0000\"\u0000:\u0000{\u0000\"\u0000b\u0000e\u0000a\u0000u\u0000t\u0000i\u0000f\u0000y\u0000\"\u0000:\u00001\u0000,\u0000\"\u0000a\u0000d\u0000j\u0000u\u0000s\u0000t\u0000\"\u0000:\u00001\u0000}\u0000,\u0000\"\u0000i\u0000s\u0000_\u0000s\u0000t\u0000i\u0000c\u0000k\u0000e\u0000r\u0000\"\u0000:\u0000f\u0000a\u0000l\u0000s\u0000e\u0000,\u0000\"\u0000e\u0000d\u0000i\u0000t\u0000e\u0000d\u0000_\u0000s\u0000i\u0000n\u0000c\u0000e\u0000_\u0000l\u0000a\u0000s\u0000t\u0000_\u0000s\u0000t\u0000i\u0000c\u0000k\u0000e\u0000r\u0000_\u0000s\u0000a\u0000v\u0000e\u0000\"\u0000:\u0000t\u0000r\u0000u\u0000e\u0000,\u0000\"\u0000c\u0000o\u0000n\u0000t\u0000a\u0000i\u0000n\u0000s\u0000F\u0000T\u0000E\u0000S\u0000t\u0000i\u0000c\u0000k\u0000e\u0000r\u0000\"\u0000:\u0000f\u0000a\u0000l\u0000s\u0000e\u0000}\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Faiz

- Prompt
- UNICODE{"remix_data":[],"remix_entry_point":"challenges","source_tags":["local"],"origin":"unknown","total_draw_time":0,"total_draw_actions":0,"layers_used":0,"brushes_used":0,"photos_added":0,"total_editor_actions":{},"tools_used":{"beautify":1,"adjust":1},"is_sticker":false,"edited_since_last_sticker_save":true,"containsFTESticker":false}
Trigger words
You should use Faiz to trigger the image generation.
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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