FLUX Hyperscale Fused

🚀 FLUX-Hyperscale-fused (dev)

本模型是一个融合模型，它按一定比例混合并融合了5个高质量的微调适配器。

模型融合代码

用于模型融合的代码如下：

import torch
from diffusers import AutoPipelineForText2Image

pipe = AutoPipelineForText2Image.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16).to("cuda")

pipe.load_lora_weights(".", weight_name="ethereal-dark.safetensors", adapter_name="ethereal-dark")
pipe.load_lora_weights(".", weight_name="mythic-fantasy.safetensors", adapter_name="mythic-fantasy")
pipe.load_lora_weights(".", weight_name="mj-whisper.safetensors", adapter_name="mj-whisper")
pipe.load_lora_weights(".", weight_name="elden-ring.safetensors", adapter_name="elden-ring")
pipe.load_lora_weights(".", weight_name="retro-anime.safetensors", adapter_name="retro-anime")
pipe.set_adapters(["ethereal-dark", "mythic-fantasy", "mj-whisper", "elden-ring", "retro-anime"], adapter_weights=[0.3, 0.9, 0.5, 0.25, 0.6])
pipe.fuse_lora(adapter_names=["ethereal-dark", "mythic-fantasy", "mj-whisper", "elden-ring", "retro-anime"], lora_scale=1.0)

pipe.unload_lora_weights()

pipe.push_to_hub("minpeter/FLUX-Hyperscale-fused")

原始模型链接

原始模型可在以下链接找到：

💻 使用示例

基础用法

使用diffusers创建图像的代码如下：

import torch
from diffusers import AutoPipelineForText2Image

pipe = AutoPipelineForText2Image.from_pretrained("minpeter/FLUX-Hyperscale-fused", torch_dtype=torch.bfloat16).to("cuda")

prompt = "orange tabby cat, curled up asleep, peaceful expression, lying in a warm patch of sunlight, on a cozy living room rug, warm lighting, soft focus background"

image = pipe(
    prompt=prompt,
    guidance_scale=3.5,
    height=1024,
    width=1024,
    num_inference_steps=30,
).images[0]

image.save("s2.png")

📄 许可证

本模型使用的是 FluxDev非商业许可协议。点击“同意”即表示您同意该许可协议，并认可可接受使用政策。