black-forest-labs/FLUX.1-dev
๐ค
yanze/PuLID-FLUX
๐
multimodalart/flux-lora-the-explorer
๐ฆ
jamesliu1217/EasyControl_Ghibli
๐
jasperai/Flux.1-dev-Controlnet-Upscaler
๐ธ
ByteDance/InfiniteYou-FLUX
๐ฅณ
prithivMLmods/FLUX-LoRA-DLC
๐
multimodalart/flux-style-shaping
โก๏ธ
bytedance-research/UNO-FLUX
๐ผ
ByteDance/Hyper-FLUX-8Steps-LoRA
๐๐ผ๏ธ๐
multimodalart/flux-fill-outpaint
๐จ
ByteDance/DreamO
FLUX.1 [dev]
is a 12 billion parameter rectified flow transformer capable of generating images from text descriptions. For more information, please read our blog post.
FLUX.1 [pro]
.FLUX.1 [dev]
more efficient.FLUX.1 [dev]
Non-Commercial License.We provide a reference implementation of FLUX.1 [dev]
, as well as sampling code, in a dedicated github repository. Developers and creatives looking to build on top of FLUX.1 [dev]
are encouraged to use this as a starting point.
The FLUX.1 models are also available via API from the following sources
FLUX.1 [pro]
)FLUX.1 [dev]
is also available in Comfy UI for local inference with a node-based workflow.
To use FLUX.1 [dev]
with the ๐งจ diffusers python library, first install or upgrade diffusers
pip install -U diffusers
Then you can use FluxPipeline
to run the model
import torch
from diffusers import FluxPipeline
pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
pipe.enable_model_cpu_offload()
prompt = "A cat holding a sign that says hello world"
image = pipe(
prompt,
height=1024,
width=1024,
guidance_scale=3.5,
num_inference_steps=50,
max_sequence_length=512,
generator=torch.Generator("cpu").manual_seed(0)
).images[0]
image.save("flux-dev.png")
To learn more check out the diffusers documentation
LimitationsThe model and its derivatives may not be used
This model falls under the FLUX.1 [dev]
Non-Commercial License.
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