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step1x, teacache, flex refactor

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lzw478614@alibaba-inc.com
2025-06-23 17:06:00 +08:00
parent 1113d305d1
commit cc6cd26733
4 changed files with 195 additions and 1 deletions
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examples/flux/flux_teacache.py Normal file
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import torch
from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
pipe = FluxImagePipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="flux1-dev.safetensors"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/"),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
],
)
prompt = "CG, masterpiece, best quality, solo, long hair, wavy hair, silver hair, blue eyes, blue dress, medium breasts, dress, underwater, air bubble, floating hair, refraction, portrait. The girl's flowing silver hair shimmers with every color of the rainbow and cascades down, merging with the floating flora around her."
for tea_cache_l1_thresh in [None, 0.2, 0.4, 0.6, 0.8]:
image = pipe(
prompt=prompt, embedded_guidance=3.5, seed=0,
num_inference_steps=50, tea_cache_l1_thresh=tea_cache_l1_thresh
)
image.save(f"image_{tea_cache_l1_thresh}.png")