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DiffSynth-Studio 2.0 major update

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2025-12-04 16:33:07 +08:00
parent afd101f345
commit 72af7122b3
758 changed files with 26462 additions and 2221398 deletions
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32
examples/flux/model_inference_low_vram/FLEX.2-preview.py
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@@ -1,33 +1,43 @@
import torch
from diffsynth.pipelines.flux_image_new import FluxImagePipeline, ModelConfig
from diffsynth.controlnets.processors import Annotator
from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig
from diffsynth.utils.controlnet import Annotator
import numpy as np
from PIL import Image
vram_config = {
"offload_dtype": torch.float8_e4m3fn,
"offload_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="ostris/Flex.2-preview", origin_file_pattern="Flex.2-preview.safetensors", offload_device="cpu", offload_dtype=torch.float8_e4m3fn),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors", offload_device="cpu", offload_dtype=torch.float8_e4m3fn),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/", offload_device="cpu", offload_dtype=torch.float8_e4m3fn),
ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors", offload_device="cpu", offload_dtype=torch.float8_e4m3fn),
ModelConfig(model_id="ostris/Flex.2-preview", origin_file_pattern="Flex.2-preview.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),
],
vram_limit=torch.cuda.mem_get_info("cuda")[1] / (1024 ** 3) - 0.5,
)
pipe.enable_vram_management()
image = pipe(
prompt="portrait of a beautiful Asian girl, long hair, red t-shirt, sunshine, beach",
num_inference_steps=50, embedded_guidance=3.5,
seed=0
)
image.save(f"image_1.jpg")
image.save("image_1.jpg")
mask = np.zeros((1024, 1024, 3), dtype=np.uint8)
mask[200:400, 400:700] = 255
mask = Image.fromarray(mask)
mask.save(f"image_mask.jpg")
mask.save("image_mask.jpg")
inpaint_image = image
@@ -37,7 +47,7 @@ image = pipe(
flex_inpaint_image=inpaint_image, flex_inpaint_mask=mask,
seed=4
)
image.save(f"image_2_new.jpg")
image.save("image_2.jpg")
control_image = Annotator("canny")(image)
control_image.save("image_control.jpg")
@@ -48,4 +58,4 @@ image = pipe(
flex_control_image=control_image,
seed=4
)
image.save(f"image_3_new.jpg")
image.save("image_3.jpg")