Picasoe
Collection
2 items • Updated • 1
How to use robiai/picasoe 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("robiai/picasoe")
prompt = "an old tv, vhs, with \"Picasoe\" written on screen"
image = pipe(prompt).images[0]
Picasoe is a text-to-image model that features improved performance in image quality, typography, complex prompt understanding, and resource-efficiency.
The model is available via HuggingFace Inference API
from huggingface_hub import InferenceClient
client = InferenceClient(
provider="hf-inference",
api_key="hf_xxxxxxxxxxxxxxxxxxxxxxxx"
)
image = client.text_to_image(
"Astronaut riding a horse",
model="robiai/picasoe"
)
Base model
black-forest-labs/FLUX.1-dev