Text-to-Image
Diffusers
English
art
How to use from the
Use from the
Diffusers library
pip install -U diffusers transformers accelerate
import torch
from diffusers import DiffusionPipeline

# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Locolabs/Flux-SeriesX", dtype=torch.bfloat16, device_map="cuda")

prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]

Fine-tuned based on the flux.dev model, the FP8 quantized version is more suitable for certain Asian-focused models, If the picture is not good, please add the guide words: MUCHEN+ARang

offering a film-like grain effect. Developed by Muchen and ARang. When using this model, please comply with the terms of Black Forest Labs. Special thanks to https://www.houdeyun.cn/ for providing GPU computing power support. Contact us:

Discord:https://discord.gg/YtmN6yWUpb EMAIL:ulook@vip.qq.com

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