Instructions to use MarkBW/nami-pony-xl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MarkBW/nami-pony-xl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xinsir/controlnet-union-sdxl-1.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MarkBW/nami-pony-xl") prompt = "score_9,score_8_up,score_7_up,<lora:nami_pony:1>,1girl, bare_shoulders, bikini_top_only, blush, brown_eyes, cleavage, collarbone, green_bikini, grey_background, halterneck, hand_up, highres, jeans, large_breasts, long_hair, looking_at_viewer, nami_\\(one_piece\\), navel, orange_hair, parted_lips, pearl_earrings, shoulder_tattoo, single_sidelock, smile, solo, upper_body" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
nami-pony-xl

- Prompt
- score_9,score_8_up,score_7_up,<lora:nami_pony:1>,1girl, bare_shoulders, bikini_top_only, blush, brown_eyes, cleavage, collarbone, green_bikini, grey_background, halterneck, hand_up, highres, jeans, large_breasts, long_hair, looking_at_viewer, nami_\(one_piece\), navel, orange_hair, parted_lips, pearl_earrings, shoulder_tattoo, single_sidelock, smile, solo, upper_body
- Negative Prompt
- logo,score_4,score_5,score_6,lowres,(bad),text,error,fewer,extra,missing,worst quality,jpeg artifacts,low quality,watermark,unfinished,displeasing,oldest,early,chromatic aberration,signature,extra digits,artistic error,username,scan,[abstract],
Model description
A Pony model of Nami from "One Piece"
Trigger words
You should use nami_\(one_piece\) 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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Model tree for MarkBW/nami-pony-xl
Base model
xinsir/controlnet-union-sdxl-1.0