Reuben Wu is a contemporary artist and photographer known for his unique approach to landscape photography. He combines elements of photography, technology, and imagination to create stunning and otherworldly images.
Wu's work often focuses on capturing landscapes transformed through light and the use of drones. He uses long exposures and carefully placed lighting to illuminate the landscape in a way that highlights its natural beauty and reveals hidden details. His photographs have an ethereal quality, blurring the lines between reality and the imaginary.
In addition to his landscape photography, Wu also incorporates elements of digital manipulation and 3D rendering into his artwork. He creates surreal and dreamlike scenes that transport the viewer to imagined worlds. Through his manipulation of light, color, and composition, Wu's work evokes a sense of wonder and invites contemplation.
Wu's images often explore the relationship between nature, technology, and human presence. He captures the intersection of the natural and the artificial, creating a visual dialogue that raises questions about our impact on the environment and the boundaries of our perception.
Overall, Reuben Wu's work pushes the boundaries of traditional landscape photography, offering a fresh and imaginative perspective on the natural world. His unique blend of technology, creativity, and artistic vision results in captivating images that invite viewers to see the familiar in new and unexpected ways.
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Comments (17)
you dont do 1.5 versions anymore? is that why you took down all your 1.5 lora extractions? some of those were really good btw 🤔
@rektobot I removed the other LoRA and Lockon because the authors of the original models were against placement until there is a normal system for naming the author of the original model.
error:argument of type 'NoneType' is not iterable.
if you use 1.5
@dajusha Because this is LoRA for SD 2.1
No matter what I try I get this error message - RuntimeError: The size of tensor a (768) must match the size of tensor b (1024) at non-singleton dimension 1
@DukeNukem47 Because this is LoRA for SD 2.1
does this only work on the base SD 2.1? I have used it with illumnati and other models that are based on SD 2.1 and they also clonk out
ah ok. got it. so only the base SD 2.1 model, thanks. working now
problem was the tag used in the sample images did nothing, this is the correct tag to use - <lora:reubenWuStyleLora_v10:1> the prompts in samples show this tag - <lora:ReubenWu:1> - which does not work
@DukeNukem47Â Never copy the LoRA tag, because when uploading to Civitai, the file name changes on its own and we (the people who upload this file do not affect it)
Your LORA models are the best I have ever seen. How do you just push them out like cookies in a bakery? Appreciated!
@FoxDude I'm looking for beautiful images, making LoRA and sharing them.
I would be grateful if you know more cool styles or images.
@Kappa_Neuro I will have to think about that, but I might return with a suggestion :)
Sorry, never saw your reply before now
I've noticed you use somthing called "nartfixer" for the Illuminati model. Both the model, and the nartfixer is unfortunately removed from CivitAI :( Any idea where to get them?
The model itself is uploaded under a different name as well. See here: Illuminutty Diffusion, https://civitai.com/models/36152/illuminutty-diffusion
I do not understand what is the problem when starting this LORA, does anyone know how to solve it?
I am using reubenwu 2.1 LORA, and Realism Engine 2.1
here is my error:
loading Lora /content/gdrive/MyDrive/sd/stable-diffusion-webui/models/Lora/ReubenWu.safetensors: RuntimeError Traceback (most recent call last): File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions-builtin/Lora/lora.py", line 253, in load_loras lora = load_lora(name, lora_on_disk) File "/content/gdrive/MyDrive/sd/stable-diffusion-webui/extensions-builtin/Lora/lora.py", line 211, in load_lora module.weight.copy_(weight) RuntimeError: output with shape [128, 320] doesn't match the broadcast shape [128, 320, 128, 320]







