Ever since DALL-E 3 completely eclipsed Midjourney in terms of Prompt ADHERENCE (albeit not quality), I've had very little reason to make use of it. However, in my testing of Flux Dev, I can gen images in roughly 15 seconds in Forge, throw those at a SDXL model such as Dreamshaper in the form of a controlnet and get the best of both worlds, high detail and adherent.
Midjourney web experience is now open to everyone
161–170 of 182 posts
Re: Midjourney web experience is now open to everyone
#162Re: Midjourney web experience is now open to everyone
#163Earlier quoted context omitted.
Quality issue should be mainly due to using FP16 accmulators for GEMM in M1-M2, A14-A16 devices (it is not a problem for SD v1 / SDXL models due to smaller channel count). This is changed to FP32 accmulators for GEMM in these devices with 1.20240820.1 release. q8p should have comparable quality to non-quantized models (in Draw Things, it is called FLUX.1 [dev] (Exact)).
Claims that quantization doesn’t hurt models are made all the time but rely on the fact that almost all evaluations today of LLMs hardly scratch their surface. If we evaluated LLMs properly, even large quants would be detectably worse, and by a significant amount.
(Another case in point: you can use generic lossless compression to get model weights from 13bit down to 11bit by just zip exponent and mantissa separately, that suggests the effective bit rate is lower than 13bit on full-precision model).
Re: Midjourney web experience is now open to everyone
#164This is a interesting company to watch in the Gen AI space since they don't have all the same restrictions as the bigger companies. Crazy this took them so long, and also crazy that they got so far through a very confusing Discord experience.
No hosting of the generated pictures, just send them via discord message and forget them. No S3 or big cloud lambda functions.
Easy to start to make a minimal working prototype.
Re: Midjourney web experience is now open to everyone
#165Earlier quoted context omitted.
Claims that quantization doesn’t hurt models are made all the time but rely on the fact that almost all evaluations today of LLMs hardly scratch their surface. If we evaluated LLMs properly, even large quants would be detectably worse, and by a significant amount.
A model trained on BF16 that within the range of FP16 have effective bit rate of 13-bit at max (e5m7). Reasonable quantization (at 8-bit) gets you weight error (i.e. L2 distance on weights) down to I think there is a line somewhere between 4-bit to 8-bit that will hurt performance (for both diffusion models and LLM). But I doubt the line is between 8-bit to 13-bit. (Another case in point: you can use generic lossless…
But yes, I do believe that we will find proper lossless quants, and eventually (for real this time) get "only a little bit of loss" quants, but I don't think that the current 8 bits are there yet.
Also, quantized models often have worse GPU utilization which harms tokens/s if you have the hardware capable to run the unquantized types. It seems to depend on the quant. SD models seem to get faster when quantized, but LLMs are often slower. Very weird.
Re: Midjourney web experience is now open to everyone
#166Midjourney’s request does not comply with Google’s ‘Use secure browsers’ policy. If this app has a website, you can open a web browser and try signing in from there. If you are attempting to access a wireless network, please follow these instructions.
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Re: Midjourney web experience is now open to everyone
#167Earlier quoted context omitted.
Replicate, although not fully free, has the bonus of outputs from Flux (from their endpoints only) able to be used for commercial purposes whereas that is normally only applicable for Flux schnell: https://replicate.com/black-forest-labs/flux-dev https://replicate.com/black-forest-labs/flux-schnell
Are you sure that's true? https://github.com/black-forest-labs/flux/blob/main/model_li... From the license: "We claim no ownership rights in and to the Outputs. You are solely responsible for the Outputs you generate and their subsequent uses in accordance with this License. You may use Output for any purpose (including for commercial purposes), except as expressly prohibited herein. You may not use the Output to tra…
They also now just added a "Commercial friendly" tag to the endpoints above.
Yes, it's weird.
Re: Midjourney web experience is now open to everyone
#168This is a interesting company to watch in the Gen AI space since they don't have all the same restrictions as the bigger companies. Crazy this took them so long, and also crazy that they got so far through a very confusing Discord experience.
The only restrictions they have are that you can't imagine President Xi, nor can you mention anything PG-13 like bathing suits.
That's like the killer use case for image generating AIs
Re: Midjourney web experience is now open to everyone
#169Ever since DALL-E 3 completely eclipsed Midjourney in terms of Prompt ADHERENCE (albeit not quality), I've had very little reason to make use of it. However, in my testing of Flux Dev, I can gen images in roughly 15 seconds in Forge, throw those at a SDXL model such as Dreamshaper in the form of a controlnet and get the best of both worlds, high detail and adherent.
Dall-E 3 (intentionally) leans away from realism though but in doing so what it leans into is a very tacky and aesthetically naive although competently executed type of image. Gives every image the feeling that you're seeing a bootleg version of a genuine thing and therefore makes everything else it touches feel tacky. Same feeling you get looking at the airbrushed art on a state fairground ride.
That's a great way to describe it. A lot of articles and youtube pics are using these images lately and they all give that sort of vibe.
Re: Midjourney web experience is now open to everyone
#170Earlier quoted context omitted.
Quality issue should be mainly due to using FP16 accmulators for GEMM in M1-M2, A14-A16 devices (it is not a problem for SD v1 / SDXL models due to smaller channel count). This is changed to FP32 accmulators for GEMM in these devices with 1.20240820.1 release. q8p should have comparable quality to non-quantized models (in Draw Things, it is called FLUX.1 [dev] (Exact)).
Claims that quantization doesn’t hurt models are made all the time but rely on the fact that almost all evaluations today of LLMs hardly scratch their surface. If we evaluated LLMs properly, even large quants would be detectably worse, and by a significant amount.
However this seems to be model size dependent, ex. Llama 3.1 405B is reported to degrade much quicker under quantization