sWizad/pokemon-trainer-sprites-pixelart-flux

Pokemon Trainer Sprites PixelArt Flux

Prompt

a pixel image of ash from pokemon

Prompt

a pixel image of a harley quinn twin tail hair with tanktop and jacket on white background

Prompt

a pixel image of deadpool on white background

Prompt

a pixel image of angel with 2 large angel wings and a halo, perfect curves, wearing a white dress on white background

Prompt

a pixel image of woman with beautiful sakura kimono, on white background

Prompt

a pixel image of stormtrooper with white armor, on white background

Prompt

a pixel image of secret agent, james bond, on white background

Prompt

a pixel image of captain American with shield, on white background

Prompt

a pixel image of ariel from the little mermaid

Prompt

a pixel image of superman

Prompt

a pixel image of spider man

Prompt

a pixel image of wolverine

Prompt

a pixel image of the flash

Prompt

a pixel image of sexy female police

Prompt

a pixel image of belle from beauty and the beast

Prompt

a pixel image of sexy nurse,

Prompt

a pixel image of assasin's creed, white hood

Prompt

a pixel image of princess leia

Prompt

a pixel image of iron man on red armor on white background

Prompt

a pixel image of santa claus

Model description

Pokémon Trainer Sprite Generator for Flux1

Trained on Pokémon sprites of 96x96 and BLIP image captions.

Download model

Weights for this model are available in Safetensors format.

Download them in the Files & versions tab.

Use it with the 🧨 diffusers library

from diffusers import AutoPipelineForText2Image
import torch

device = "cuda" if torch.cuda.is_available() else "cpu"

pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to(device)
pipeline.load_lora_weights('sWizad/pokemon-trainer-sprites-pixelart-flux', weight_name='pktrainer_F1-v1-0.safetensors')
image = pipeline('a pixel image of santa claus ').images[0]

For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers