refine examples

This commit is contained in:
Artiprocher
2025-06-24 19:17:43 +08:00
parent 3eb7e7530e
commit c8ad643374
8 changed files with 12 additions and 25 deletions

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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")