import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("T5B/Qwen-Image-Layered-FP8", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]Qwen-Image-Layered (FP8 E5M2 & E4M3FN)
This is a quantization of Qwen/Qwen-Image-Layered to FP8 E5M2 and FP8 E4M3FN.
Sensitive layers (norms, embeddings, biases) were kept in BF16.
License & Usage: This model strictly follows the original licensing terms and usage restrictions. Please refer to the original model card for details.
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