Instructions to use Trenddwdw/Hannah_Murray with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Trenddwdw/Hannah_Murray 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("Trenddwdw/Hannah_Murray") prompt = "UNICODE\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000H\u0000a\u0000n\u0000n\u0000a\u0000h\u0000_\u0000M\u0000u\u0000r\u0000r\u0000a\u0000y\u0000_\u0000F\u0000l\u0000u\u0000x\u0000:\u00001\u0000>\u0000 \u0000A\u0000 \u0000s\u0000t\u0000r\u0000i\u0000k\u0000i\u0000n\u0000g\u0000 \u0000c\u0000l\u0000o\u0000s\u0000e\u0000-\u0000u\u0000p\u0000 \u0000o\u0000f\u0000 \u0000H\u0000a\u0000n\u0000n\u0000a\u0000h\u0000 \u0000M\u0000u\u0000r\u0000r\u0000a\u0000y \u0019\u0000s\u0000 \u0000G\u0000i\u0000l\u0000l\u0000y\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000i\u0000c\u0000y\u0000 \u0000w\u0000i\u0000l\u0000d\u0000e\u0000r\u0000n\u0000e\u0000s\u0000s\u0000.\u0000 \u0000H\u0000e\u0000r\u0000 \u0000b\u0000r\u0000e\u0000a\u0000t\u0000h\u0000 \u0000i\u0000s\u0000 \u0000v\u0000i\u0000s\u0000i\u0000b\u0000l\u0000e\u0000 \u0000i\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000f\u0000r\u0000e\u0000e\u0000z\u0000i\u0000n\u0000g\u0000 \u0000a\u0000i\u0000r\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000s\u0000n\u0000o\u0000w\u0000f\u0000l\u0000a\u0000k\u0000e\u0000s\u0000 \u0000c\u0000l\u0000i\u0000n\u0000g\u0000 \u0000t\u0000o\u0000 \u0000t\u0000h\u0000e\u0000 \u0000s\u0000t\u0000r\u0000a\u0000n\u0000d\u0000s\u0000 \u0000o\u0000f\u0000 \u0000h\u0000e\u0000r\u0000 \u0000d\u0000i\u0000s\u0000h\u0000e\u0000v\u0000e\u0000l\u0000e\u0000d\u0000 \u0000h\u0000a\u0000i\u0000r\u0000.\u0000 \u0000H\u0000e\u0000r\u0000 \u0000c\u0000h\u0000e\u0000e\u0000k\u0000s\u0000 \u0000a\u0000r\u0000e\u0000 \u0000r\u0000e\u0000d\u0000d\u0000e\u0000n\u0000e\u0000d\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000t\u0000h\u0000e\u0000 \u0000c\u0000o\u0000l\u0000d\u0000,\u0000 \u0000a\u0000n\u0000d\u0000 \u0000h\u0000e\u0000r\u0000 \u0000l\u0000i\u0000p\u0000s\u0000 \u0000a\u0000r\u0000e\u0000 \u0000s\u0000l\u0000i\u0000g\u0000h\u0000t\u0000l\u0000y\u0000 \u0000c\u0000h\u0000a\u0000p\u0000p\u0000e\u0000d\u0000,\u0000 \u0000y\u0000e\u0000t\u0000 \u0000h\u0000e\u0000r\u0000 \u0000g\u0000a\u0000z\u0000e\u0000 \u0000i\u0000s\u0000 \u0000s\u0000t\u0000e\u0000a\u0000d\u0000y\u0000 \u0000a\u0000n\u0000d\u0000 \u0000d\u0000e\u0000t\u0000e\u0000r\u0000m\u0000i\u0000n\u0000e\u0000d\u0000.\u0000 \u0000W\u0000r\u0000a\u0000p\u0000p\u0000e\u0000d\u0000 \u0000t\u0000i\u0000g\u0000h\u0000t\u0000l\u0000y\u0000 \u0000i\u0000n\u0000 \u0000a\u0000 \u0000f\u0000u\u0000r\u0000-\u0000l\u0000i\u0000n\u0000e\u0000d\u0000 \u0000c\u0000l\u0000o\u0000a\u0000k\u0000,\u0000 \u0000t\u0000h\u0000e\u0000 \u0000t\u0000h\u0000i\u0000c\u0000k\u0000 \u0000l\u0000a\u0000y\u0000e\u0000r\u0000s\u0000 \u0000p\u0000a\u0000r\u0000t\u0000i\u0000a\u0000l\u0000l\u0000y\u0000 \u0000o\u0000b\u0000s\u0000c\u0000u\u0000r\u0000e\u0000 \u0000h\u0000e\u0000r\u0000 \u0000f\u0000r\u0000a\u0000m\u0000e\u0000.\u0000 \u0000T\u0000h\u0000e\u0000 \u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000 \u0000i\u0000s\u0000 \u0000a\u0000 \u0000v\u0000a\u0000s\u0000t\u0000,\u0000 \u0000w\u0000i\u0000n\u0000t\u0000r\u0000y\u0000 \u0000e\u0000x\u0000p\u0000a\u0000n\u0000s\u0000e\u0000,\u0000 \u0000w\u0000i\u0000t\u0000h\u0000 \u0000s\u0000w\u0000i\u0000r\u0000l\u0000i\u0000n\u0000g\u0000 \u0000s\u0000n\u0000o\u0000w\u0000 \u0000a\u0000n\u0000d\u0000 \u0000t\u0000h\u0000e\u0000 \u0000f\u0000a\u0000i\u0000n\u0000t\u0000 \u0000o\u0000u\u0000t\u0000l\u0000i\u0000n\u0000e\u0000 \u0000o\u0000f\u0000 \u0000d\u0000i\u0000s\u0000t\u0000a\u0000n\u0000t\u0000 \u0000t\u0000r\u0000e\u0000e\u0000s\u0000.\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Hannah_Murray

- Prompt
- UNICODE<lora:Hannah_Murray_Flux:1> A striking close-up of Hannah Murray s Gilly in the icy wilderness. Her breath is visible in the freezing air, and snowflakes cling to the strands of her disheveled hair. Her cheeks are reddened from the cold, and her lips are slightly chapped, yet her gaze is steady and determined. Wrapped tightly in a fur-lined cloak, the thick layers partially obscure her frame. The background is a vast, wintry expanse, with swirling snow and the faint outline of distant trees.

- Prompt
- UNICODE<lora:Hannah_Murray_Flux:1> A close-up portrait capturing an emotional moment of Gilly on the verge of tears. Her hazel eyes glisten with unshed tears, her lower lip trembling slightly as she clutches her tattered cloak closer to her body. Strands of hair stick to her damp cheeks, her expression a mix of sorrow and quiet strength. The background is blurred, showing hints of firelight flickering in the darkness, possibly within Castle Black.
Trigger words
You should use Hannah_Murray 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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