Instructions to use WizWhite/Wiz-PunchOut_Ringside_Portrait with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use WizWhite/Wiz-PunchOut_Ringside_Portrait 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("WizWhite/Wiz-PunchOut_Ringside_Portrait") prompt = "punch0ut, ringside pixel portrait depicting an angry Wizard Whitebeard,, with a long white beard, wearing a wizard's hat, and blue boxing robe. Red background, with white ropes." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Wizard's Punch-Out!! Ringside Portraits

- Prompt
- punch0ut, ringside pixel portrait depicting an angry Wizard Whitebeard,, with a long white beard, wearing a wizard's hat, and blue boxing robe. Red background, with white ropes.

- Prompt
- punch0ut, ringside pixel portrait depicting an extremely obese Donald Trump wearing a toadstool hat, and us-flag boxing gloves. Red background, with white ropes.

- Prompt
- punch0ut, ringside pixel portrait depicting Chris Brown wearing a Veil. Moonstone Gray background with white ropes.
Model description
Make your own NES Punch-Out!! style character pixel portrait,
Fill in the blanks: ```punch0ut, ringside pixel portrait depicting ________. ____ background, with white ropes.```
Image size: ```1024x1024``` Steps: ```25``` Guidance: ```3.5``` Sampler/Scheduler: ```DDIM SGM_Uniform```
Trigger words
You should use punch0ut to trigger the image generation.
You should use ringside pixel portrait depicting 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 WizWhite/Wiz-PunchOut_Ringside_Portrait
Base model
black-forest-labs/FLUX.1-dev