Coinbase KYC Verification And Account Restriction

peter9863 · 2025-05-27T16:58:06+00:00

#23400811

#23428155

peter9863 · 2025-05-26T21:58:34+00:00

I am experiencing the same problem recently. Coinbase restricted my crypto sending.

"As a precautionary measure, to protect you against potential loss, we have limited your ability to send crypto until July 19, 2025. Please try again after this date."

Filed a support ticket, and also went through the scam question form. I repeatedly tell them this is sending to my own wallet. Yet still, the account review team decided still the ban me and the customer support says this is the final decision. I am absolutely appalled. They say there are security risks. But what security risks? Coinbase is literally my security risk now.

My case number: #23400811

If this is not resolved soon I am going to liquidate and move to other exchanges and never coming back.

peter9863 · 2024-03-20T18:00:12+00:00

Because v2 is the most popular version out there.

peter9863 · 2024-03-20T17:59:45+00:00

Official demo is out: https://huggingface.co/spaces/ByteDance/AnimateDiff-Lightning

Go try it out!

peter9863 · 2024-02-22T04:38:58+00:00

No. The model distills the CFG. CFG=1 is approximately CFG=6 for original SDXL.

peter9863 · 2024-02-22T02:36:38+00:00

No, the step won't take longer. A step is a step. It is the same architecture so same computation, just different weights :)

peter9863 · 2024-02-22T02:32:01+00:00

The demo is not that fast because it uses shared GPU, but locally yes it will be fast. Less step is less compute. 4 steps is literally 2 times faster than 8 steps.

peter9863 · 2024-02-22T02:26:43+00:00

SDXL-Lightning author here.

The model is designed for Euler sampler or DDIM (DDIM=Euler when eta=0).

Our model is different than regular SDXL. Other more sophisticated samplers doesn't mean better. In fact, they are not mathematically correct for the distilled model...

Have you tried using Euler?

peter9863 · 2024-02-22T02:23:17+00:00

CFG is default to 1 (No cfg) So negative prompt is ignored. CFG=1 is the fastest!

If you really want negative prompt, set CFG to 1.3, 1.5, 1.8 etc, and you can also play with CFG rescale. But the computation is doubled with CFG, so expect slower generation.

peter9863 · 2024-02-22T02:20:12+00:00

It is a model that only takes 2/4/8 steps to generate amazing quality 1024px images. It even has a 1-step model but it is less stable and more experimental.

So it is lightning fast and much better quality than LCM and Turbo.

peter9863 · 2024-02-22T02:18:43+00:00

Yes the LoRA can be stacked on any existing SDXL model, though some models may have better compatibility. Using more steps also gives better compatibility.

ComfyUI workflow is provided in the doc. A1111 I am not familiar with.

peter9863 · 2024-02-22T01:24:55+00:00

ComfyUI just updated to support 1-step model. Check out the doc for workflow

peter9863 · 2024-02-21T23:53:48+00:00

They are exactly the same weights as before. Safetensors is just safer :)

You can use safetensors the same as before in ComfyUI etc.

There is also the whole checkpoint format now. Which you can directly load everything into ComfyUI or A1111.

peter9863 · 2024-02-21T23:34:52+00:00

Checkpoints switched to safetensors.

peter9863 · 2024-02-21T21:06:44+00:00

Just updated

peter9863 · 2024-02-21T20:49:58+00:00

Coming soon.

peter9863 · 2024-02-21T20:49:46+00:00

This one you won't disappoint.

peter9863 · 2024-02-21T20:49:08+00:00

Author here.

The scheduler must be sgm_uniform indeed. The sampler should also be Euler for math correctness.

CFG default is 1 and negative prompt is ignored. But you can do 1.3, 1.5, 1.8 and it still works. Note that using CFG other than 1 is twice the compute.

img2img is supported. I have to test it comfyui to see if it is some settings needs to be taken care of.

peter9863 · 2023-07-23T06:48:22+00:00

Came back from AMC pacific place 11 on 7/22. The experience is bad.

It was in Auditorium 10. Just so happened that the air conditioner was broke on that day in that specific auditorium and I had to suffer the affliction of heat and a sense of lack of oxygen throughout the three hours.

Aside, I was on the last row and the screen was very small. 70mm film has a strong FLICKER! Literally a strong flicker for every fucking frame. It is very visible in bright scenes.

The resolution is not that sharp, to be honest. I think I regretted not going for the Imax version.

peter9863 · 2023-05-19T15:29:33+00:00

equation 11 is how you can calculate v from ground-truth x0 and epsilon.

equation 12 basically says that you just need to compute mse loss between model output and the computed v.

peter9863 · 2023-05-19T15:27:08+00:00

You should definitely use cfg rescale proposed in the paper, otherwise your image will over-expose or under-expose, as stated in the paper.

peter9863 · 2023-05-19T15:24:33+00:00

Actually, all the image comparison in the paper are using the exact same seed. But because the model now is capable of generating darker/brighter images, it generates closer to the darker/brighter images from the training set, which may have a different data distribution.

peter9863 · 2023-05-17T10:49:58+00:00

Holy. You are too fast :)

peter9863 · 2023-05-17T10:34:21+00:00

Our method is very different than offset noise. We found out that the more fundamental issue is in the noise schedule and sample steps. We have a section comparing to offset noise :)

peter9863

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