🎉 Now videos are alive! After finally getting WAN 2.1 running on my RX 6700 XT via ROCm and ComfyUI, even complex prompts can be turned into animated WebPs locally!

These animated WebP were generated locally using ComfyUI and the WAN 2.1 T2V 1.3B (fp16) model.

Model Stack:
- wan2.1_t2v_1.3B_fp16
- umt5_xxl_fp8_e4m3fn_scaled (Text Encoder)
- wan_2.1_vae
- clip_vision_h

The prompt is first converted into embeddings by the UMT5 encoder.
The WAN video model then generates multiple frames using latent diffusion (noise → iterative refinement), ensuring temporal coherence between frames.
The VAE decodes the latent frames into images, exported as an animated WebP.

Prompt execution time: depends on scene complexity, from 521.62 seconds (~8.7 minutes) up to 17 minutes 26 seconds for more complex prompts.

Rendered locally via ROCm on my AMD RX 6700 XT (12GB VRAM).
No cloud. Pure local inference.

#ComfyUI #WAN21 #ROCm #AMD #LocalAI #FOSS #VideoAI #AIvideo #AIGenerated #MachineLearning #DeepLearning #DiffusionModels #TextToVideo #AIArt #CreativeAI #LocalInference #VideoGeneration

The first upload went a bit sideways -.-

Some data got lost causing black stripes in the original masterpiece image so I moved it back in the carousel

Here is the real clean version finally posting the image as it was meant to be seen

#sdxl #stablediffusion #comfyui #aiart #animeart #generativeart #diffusionmodels #foss #opensource #digitalart #animegirl

Generated with SDXL in ComfyUI

First three images are the final results,
image #4 shows the full ComfyUI workflow used to create them.

#sdxl #stablediffusion #comfyui #aiart #animeart #generativeart #diffusionmodels #foss #opensource #digitalart #animegirl

If you can run FLUX and SDXL locally, you really don’t need cloud AI services anymore.
No subscriptions, no prompt logging, no rate limits, just full control.

And no, you don’t need an RTX 5090 or a Radeon AI PRO R9700 (I’d love to have one though xD).
Every image here was rendered on an AMD RX 6700 XT, a mid-range GPU from 2021, not even officially supported by ROCm.

Local models. Local compute. Local freedom.

#SDXL #StableDiffusion #LocalAI #GenerativeArt #OpenSource #FOSS #PrivacyFirst #NoCloud #AMD #RX6700XT #ROCm #Linux #AIArt #DiffusionModels #CreativeCoding #MidrangeGPU #SelfHosted #Decentralized

The other day I had the intrusive thought

AI is intellectual Viagra

and it hasn't left me so I am exorcising it here. I'm sorry in advance for any pain this might cause.

#AI #GenAI #GenerativeAI #LLMs #DiffusionModels #tech #dev #coding #software #SoftwareDevelopment #writing #art #VisualArt

The rhetoric that limiting or banning AI/generative AI/LLM/diffusion model use is "ableist" or "gatekeeping" is the latest desperate attempt to find an angle through which to force this technology into our lives against our collective will. We need to reject this narrative. Common as it is it simply doesn't scan. It reads to me as an attempt to co-opt the language of social justice to shame people into accepting an unjust and largely failing technology that they are rightfully rejecting.

Think it through. If you don't accept the use of climate-destroying, electricity-and-fresh-water-sapping, job-destroying, economy-thrashing--and yet mediocre or poorly performing!--technology created by multi-trillion-dollar sociopathic entities, then you are preventing people with less privilege than you have from living their best lives. You are preventing them from learning how to code. You are preventing them from obtaining coveted jobs in the tech sector. You are preventing them from having access to information. You, personally, are responsible for all this. Not the multi-trillion-dollar sociopathic entities who've not only created this technology and forced it on us but contributed to creating the less-privileged conditions of the people you are supposedly responsible for with your individual choices. Not the governments that neglected to enforce existing laws that would have prevented such multi-trillion-dollar sociopathic entities from forming in the first place, let alone creating such a technology--while also creating the conditions that led to people being less privileged. No, they are not responsible. You are. I am.

That doesn't make any sense.

Neoliberalism's greatest trick has been to shift responsibility for any problems away from the powerful and onto individuals who are not empowered to fix anything, all while convincing everyone that this is right and proper. Large corporations do not cause a plastic pollution problem; you and I do, by not separating our recycling. Large corporations, governments and militaries do not cause CO2 pollution and climate damage; you and I do, by using incandescent lightbulbs and non-electric/non-hybrid cars or eating meat. Lack of regulation and large agribusiness practices are not to blame for poor food quality; you and I are, for buying what they sell instead of going organic and joining a CSA. Etc. ad infinitum. Large, powerful entities routinely generate a problem, then tell you and me that we are responsible for the problem as well as for fixing it. Never mind that these entities could nudge their own behavior a bit and move the needle on the problem far more than masses of people could no matter how organized they were. Never mind that these entities could be constrained from causing such problems in the first place.

We are watching a new variation of this pattern come into being right in front of our eyes with AI. We should stop accepting these fictions. You are neither ableist nor a gatekeeper for resisting AI. You are, instead, attempting to forestall the further degradation of conditions for everyone, which starts this same cycle anew.

#AI #GenAI #GenerativeAI #LLM #DiffusionModels #neoliberalism #depoliticization

R.A. Fisher wrote that the purpose of statisticians was "constructing a hypothetical infinite population of which the actual data are regarded as constituting a random sample." ( p. 311 here ). In The Zeroth Problem Colin Mallows wrote "As Fisher pointed out, statisticians earn their living by using two basic tricks-they regard data as being realizations of random variables, and they assume that they know an appropriate specification for these random variables."

Some of the pathological beliefs we attribute to techbros were already present in this view of statistics that started forming over a century ago. Our writing is just data; the real, important object is the “hypothetical infinite population” reflected in a large language model, which at base is a random variable. Stable Diffusion, the image generator, is called that because it is based on latent diffusion models, which are a way of representing complicated distribution functions--the hypothetical infinite populations--of things like digital images. Your art is just data; it’s the latent diffusion model that’s the real deal. The entities that are able to identify the distribution functions (in this case tech companies) are the ones who should be rewarded, not the data generators (you and me).

So much of the dysfunction in today’s machine learning and AI points to how problematic it is to give statistical methods a privileged place that they don’t merit. We really ought to be calling out Fisher for his trickery and seeing it as such.

#AI #GenAI #GenerativeAI #LLM #StableDiffusion #statistics #StatisticalMethods #DiffusionModels #MachineLearning #ML