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Artiprocher
2025-11-19 20:22:21 +08:00
parent 6ad8d73717
commit eeb55a0ce6
88 changed files with 3113 additions and 78 deletions
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examples/flux/model_inference_low_vram/FLUX.1-dev-IP-Adapter.py Normal file
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import torch
from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig
vram_config = {
"onload_dtype": torch.float8_e4m3fn,
"onload_device": "cpu",
"onload_dtype": torch.float8_e4m3fn,
"onload_device": "cpu",
"preparing_dtype": torch.float8_e4m3fn,
"preparing_device": "cuda",
"computation_dtype": torch.bfloat16,
"computation_device": "cuda",
}
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", **vram_config),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors", **vram_config),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/*.safetensors", **vram_config),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors", **vram_config),
ModelConfig(model_id="InstantX/FLUX.1-dev-IP-Adapter", origin_file_pattern="ip-adapter.bin", **vram_config),
ModelConfig(model_id="google/siglip-so400m-patch14-384", origin_file_pattern="model.safetensors", **vram_config),
],
vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
)
origin_prompt = "a rabbit in a garden, colorful flowers"
image = pipe(prompt=origin_prompt, height=1280, width=960, seed=42)
image.save("style image.jpg")
image = pipe(prompt="A piggy", height=1280, width=960, seed=42,
ipadapter_images=[image], ipadapter_scale=0.7)
image.save("A piggy.jpg")