Instructions to use rajkumaralma/sewing_doll with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rajkumaralma/sewing_doll with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rajkumaralma/sewing_doll") prompt = "UNICODE\u0000\u0000B\u0000J\u0000_\u0000S\u0000e\u0000w\u0000i\u0000n\u0000g\u0000_\u0000d\u0000o\u0000l\u0000l\u0000,\u0000s\u0000o\u0000l\u0000o\u0000,\u0000o\u0000p\u0000e\u0000n\u0000_\u0000m\u0000o\u0000u\u0000t\u0000h\u0000,\u0000s\u0000t\u0000a\u0000n\u0000d\u0000i\u0000n\u0000g\u0000,\u0000t\u0000a\u0000i\u0000l\u0000,\u0000f\u0000u\u0000l\u0000l\u0000_\u0000b\u0000o\u0000d\u0000y\u0000,\u0000t\u0000e\u0000e\u0000t\u0000h\u0000,\u0000b\u0000l\u0000u\u0000r\u0000r\u0000y\u0000,\u0000p\u0000o\u0000k\u0000e\u0000m\u0000o\u0000n\u0000_\u0000\\\u0000(\u0000c\u0000r\u0000e\u0000a\u0000t\u0000u\u0000r\u0000e\u0000\\\u0000)\u0000,\u0000n\u0000o\u0000_\u0000h\u0000u\u0000m\u0000a\u0000n\u0000s\u0000,\u0000b\u0000l\u0000u\u0000r\u0000r\u0000y\u0000_\u0000b\u0000a\u0000c\u0000k\u0000g\u0000r\u0000o\u0000u\u0000n\u0000d\u0000,\u0000s\u0000h\u0000a\u0000r\u0000p\u0000_\u0000t\u0000e\u0000e\u0000t\u0000h\u0000,\u0000T\u0000-\u0000r\u0000e\u0000x\u0000,\u0000p\u0000h\u0000o\u0000t\u0000o\u0000,\u00008\u0000k\u0000,\u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000d\u0000i\u0000g\u0000i\u0000t\u0000a\u0000l\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000y\u0000,\u0000h\u0000d\u0000r\u0000,\u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000h\u0000i\u0000g\u0000h\u0000 \u0000d\u0000e\u0000f\u0000i\u0000n\u0000i\u0000t\u0000i\u0000o\u0000n\u0000,\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000S\u0000D\u0000X\u0000L\u0000_\u0000S\u0000e\u0000w\u0000i\u0000n\u0000g\u0000_\u0000d\u0000o\u0000l\u0000_\u0000v\u00002\u0000:\u00001\u0000>\u0000,\u0000" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
sewing_doll
,no_humans,blurry_background,sharp_teeth.jpeg)
- Prompt
- UNICODEBJ_Sewing_doll,solo,open_mouth,standing,tail,full_body,teeth,blurry,pokemon_\(creature\),no_humans,blurry_background,sharp_teeth,T-rex,photo,8k,highly detailed,digital photography,hdr,realistic,high definition,<lora:SDXL_Sewing_dol_v2:1>,
Model description
sewing_doll
Trigger words
You should use BJ_Sewing_doll 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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