Instructions to use graizelle/nu_gurl_trans with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use graizelle/nu_gurl_trans 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_gurl_trans", dtype=torch.bfloat16, device_map="cuda") prompt = "1girl, nu_gurl, 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_gurl_trans", dtype=torch.bfloat16, device_map="cuda")
prompt = "1girl, nu_gurl, 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, nu_gurl, looking at viewer, long blonde hair, green eyes, red dress, jewelry, masterpiece best quality, realistic, dramatic lighting

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

- Prompt
- 1girl, nu_gurl, emo, looking at viewer, long blonde hair, baseball cap, shorts, 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_gurl_trans
Base model
OnomaAIResearch/Illustrious-XL-v1.0