Forge-and-Quench: Enhancing Image Generation for Higher Fidelity in Unified Multimodal Models
Paper β’ 2601.04706 β’ Published
How to use zengyb6666/Forge-and-Quench with Diffusers:
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("zengyb6666/Forge-and-Quench", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]This repository contains the models for the project Forge-and-Quench.
For detailed instructions, installation guides, and inference scripts, please refer to our GitHub Repository.