forked from nunchaku-ai/nunchaku
-
Notifications
You must be signed in to change notification settings - Fork 1
Expand file tree
/
Copy pathflux.1-depth-dev.py
More file actions
32 lines (26 loc) · 1.23 KB
/
Copy pathflux.1-depth-dev.py
File metadata and controls
32 lines (26 loc) · 1.23 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
import torch
from diffusers import FluxControlPipeline
from diffusers.utils import load_image
from image_gen_aux import DepthPreprocessor
from nunchaku import NunchakuFluxTransformer2dModel
from nunchaku.utils import get_precision
precision = get_precision() # auto-detect your precision is 'int4' or 'fp4' based on your GPU
transformer = NunchakuFluxTransformer2dModel.from_pretrained(
f"nunchaku-tech/nunchaku-flux.1-depth-dev/svdq-{precision}_r32-flux.1-depth-dev.safetensors"
)
pipe = FluxControlPipeline.from_pretrained(
"black-forest-labs/FLUX.1-Depth-dev",
transformer=transformer,
torch_dtype=torch.bfloat16,
).to("cuda")
prompt = (
"A robot made of exotic candies and chocolates of different kinds. "
"The background is filled with confetti and celebratory gifts."
)
control_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/robot.png")
processor = DepthPreprocessor.from_pretrained("LiheYoung/depth-anything-large-hf")
control_image = processor(control_image)[0].convert("RGB")
image = pipe(
prompt=prompt, control_image=control_image, height=1024, width=1024, num_inference_steps=30, guidance_scale=10.0
).images[0]
image.save(f"flux.1-depth-dev-{precision}.png")