Transformers How to use SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("feature-extraction", model="SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B") # pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B")
model = AutoModel.from_pretrained("SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B", device_map="auto") Diffusers How to use SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("SearchingMan/FLUX.2-klein-9B-Text-Encoder-Pruned-5.1B", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0] 
