DEISMultistepScheduler not working on FLUX

[PromeAIpro]

Describe the bug

DEISMultistepScheduler not working on FLUX

Reproduction

import torch
from diffusers import FluxPipeline
from diffusers.schedulers import DEISMultistepScheduler

pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.scheduler = DEISMultistepScheduler.from_config(pipe.scheduler.config, timestep_spacing="linspace")

prompt = "A cat holding a sign that says hello world"
image = pipe(
prompt,
height=1024,
width=1024,
guidance_scale=3.5,
num_inference_steps=50,
max_sequence_length=512,
generator=torch.Generator("cpu").manual_seed(0)
).images[0]
image.save("flux-dev.png")

Logs

ValueError: The current scheduler class <class 'diffusers.schedulers.scheduling_deis_multistep.DEISMultistepScheduler'>'s `set_timesteps` does not support custom sigmas schedules. Please check whether you are using the correct scheduler.

System Info

• 🤗 Diffusers version: 0.31.0
• Platform: Linux-5.10.0-28-amd64-x86_64-with-glibc2.31
• Running on Google Colab?: No
• Python version: 3.10.14
• PyTorch version (GPU?): 2.4.0+cu121 (True)
• Flax version (CPU?/GPU?/TPU?): not installed (NA)
• Jax version: not installed
• JaxLib version: not installed
• Huggingface_hub version: 0.24.6
• Transformers version: 4.45.1
• Accelerate version: 0.34.0
• PEFT version: 0.12.0
• Bitsandbytes version: 0.43.3
• Safetensors version: 0.4.4
• xFormers version: not installed
• Accelerator: NVIDIA A100-SXM4-80GB, 81920 MiB
  NVIDIA A100-SXM4-80GB, 81920 MiB
• Using GPU in script?:
• Using distributed or parallel set-up in script?:

Who can help?

No response

[vladmandic]

not a bug - flux and sd3x require use of flow-matching type of schedulers, use of standard schedulers is not possible.
see #9924 and #9607

[sayakpaul]

Cc: @yiyixuxu as well.

[PromeAIpro]

But I think comfyui supports it