Instructions to use graizelle/nu_boi_traps with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use graizelle/nu_boi_traps with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("graizelle/nu_boi_traps", dtype=torch.bfloat16, device_map="cuda") prompt = "1girl, looking at viewer, long blonde hair, green eyes, red dress, jewelry, masterpiece best quality, realistic, dramatic lighting" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("graizelle/nu_boi_traps", dtype=torch.bfloat16, device_map="cuda")
prompt = "1girl, looking at viewer, long blonde hair, green eyes, red dress, jewelry, masterpiece best quality, realistic, dramatic lighting"
image = pipe(prompt).images[0]Nu Gurl Trans

- Prompt
- 1girl, looking at viewer, long blonde hair, green eyes, red dress, jewelry, masterpiece best quality, realistic, dramatic lighting

- Prompt
- 1girl, looking at viewer, long blonde hair, green eyes, thigh highs, masterpiece best quality, realistic, dramatic lighting

- Prompt
- 1girl looking at viewer, long blonde hair, masterpiece best quality, realistic, dramatic lighting
Download model
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
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Model tree for graizelle/nu_boi_traps
Base model
OnomaAIResearch/Illustrious-XL-v1.0