WiroAI Flux Models
Collection
WiroAI's plug-and-play image generation models • 30 items • Updated • 3
How to use WiroAI/Pokemon-Universe-Flux-Dev-fp8 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("WiroAI/Pokemon-Universe-Flux-Dev-fp8")
prompt = "lgdsgn, A moth Pokémon with glass-like wings that reflect viewers’ memories; it shatters and reforms endlessly, revealing hidden truths."
image = pipe(prompt).images[0]How to use WiroAI/Pokemon-Universe-Flux-Dev-fp8 with Transformers:
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("WiroAI/Pokemon-Universe-Flux-Dev-fp8", dtype="auto")
This LoRA is trained for anyone who like Pokémon.



You should use lgdsgn to trigger the image generation.
from diffusers import FluxPipeline
import torch
pipeline = FluxPipeline.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('WiroAI/Pokemon-Universe-Flux-Dev-fp8', weight_name='pokemon-universe-flux-dev-fp8.safetensors')
image = pipeline('lgdsgn, A moth Pokémon with glass-like wings that reflect viewers’ memories; it shatters and reforms endlessly, revealing hidden truths.').images[0]
image.save("output.png")
Base model
black-forest-labs/FLUX.1-dev