Merge pull request #1244 from modelscope/qwen-image-edit-lightning

Qwen image edit lightning
This commit is contained in:
Zhongjie Duan
2026-02-02 15:20:11 +08:00
committed by GitHub
7 changed files with 143 additions and 0 deletions

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@@ -11,6 +11,7 @@ class FlowMatchScheduler():
"Qwen-Image": FlowMatchScheduler.set_timesteps_qwen_image,
"FLUX.2": FlowMatchScheduler.set_timesteps_flux2,
"Z-Image": FlowMatchScheduler.set_timesteps_z_image,
"Qwen-Image-Lightning": FlowMatchScheduler.set_timesteps_qwen_image_lightning,
}.get(template, FlowMatchScheduler.set_timesteps_flux)
self.num_train_timesteps = 1000
@@ -70,6 +71,28 @@ class FlowMatchScheduler():
timesteps = sigmas * num_train_timesteps
return sigmas, timesteps
@staticmethod
def set_timesteps_qwen_image_lightning(num_inference_steps=100, denoising_strength=1.0, exponential_shift_mu=None, dynamic_shift_len=None):
sigma_min = 0.0
sigma_max = 1.0
num_train_timesteps = 1000
base_shift = math.log(3)
max_shift = math.log(3)
# Sigmas
sigma_start = sigma_min + (sigma_max - sigma_min) * denoising_strength
sigmas = torch.linspace(sigma_start, sigma_min, num_inference_steps + 1)[:-1]
# Mu
if exponential_shift_mu is not None:
mu = exponential_shift_mu
elif dynamic_shift_len is not None:
mu = FlowMatchScheduler._calculate_shift_qwen_image(dynamic_shift_len, base_shift=base_shift, max_shift=max_shift)
else:
mu = 0.8
sigmas = math.exp(mu) / (math.exp(mu) + (1 / sigmas - 1))
# Timesteps
timesteps = sigmas * num_train_timesteps
return sigmas, timesteps
@staticmethod
def compute_empirical_mu(image_seq_len, num_steps):
a1, b1 = 8.73809524e-05, 1.89833333