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ptx0/pseudo-flex-base - Hugging Face

Background The ptx0/pseudo-real-beta pretrained checkpoint had its unet trained for 4,200 steps and its text encoder trained for 15,600 steps at a batch size of 15 with 10 gradient accumulations, on a diverse dataset:. cushman (8000 kodachrome slides from 1939 to 1969) midjourney v5.1-filtered (about 22,000 upscaled v5.1 images) national geographic (about 3-4,000 >1024x768 images of animals ...

ptx0/terminus-xl-velocity-v1 - Hugging Face

Midjourney 5.2 dataset ptx0/mj-general with zero filtration. Training Procedure Preprocessing Followed SDXL's pretraining procedure using crop conditional inputs and centre-cropped images with their full size as the input. Trained on 512x512, followed by 768x768, and finally, ~1 megapixel multi-aspect training for the rest of the training time. ...

ptx0/terminus-xl-otaku-v1 - Hugging Face

Collection including ptx0/terminus-xl-otaku-v1. Terminus XL. Collection v-prediction SDXL clone with zero-terminal SNR noise schedule • 8 items • Updated Apr 24 • 6 ...

Zero-terminal SNR, v-prediction SDXL, trained on one GPU!

Terminus XL. Today, I humbly release these checkpoints to the wild of Reddit. It's taken over 60 days of continuous training on two single A100-80Gs on two separate systems to bring up two entirely different models based on the SDXL architecture.

DDIM produces incorrect samples with SDXL (epsilon or v ... - GitHub

Model: ptx0/terminus-xl-gamma-training (V-PRED ZSNR) seed: 1 (cpu f32) guidance 8 + 0.7 rescale; 30 steps; Using diffusers master d4c7ab7 with my own app I think this is a fairly obvious demonstration that both DDIM and probably DPM have timestep issues. DPM doesn't have a ZSNR patch yet so it'll naturally have less contrast.

Parallel Thread Execution - Wikipedia

Parallel Thread Execution (PTX or NVPTX [1]) is a low-level parallel thread execution virtual machine and instruction set architecture used in Nvidia's Compute Unified Device Architecture programming environment.The Nvidia CUDA Compiler (NVCC) translates code written in CUDA, a C++-like language, into PTX instructions (an assembly language represented as American Standard Code for Information ...

Support for zero-terminal SNR noise schedule - GitHub

Basically asking for support for models trained on zero-terminal SNR noise schedule and velocity prediction such as the terminus series. Huggingface link:

[Issue] DDIM scheduler has model config values overridden #2424 - GitHub

You can find this model for testing on the hub, as ptx0/vanilla-xltest. The text was updated successfully, but these errors were encountered: All reactions. Copy link Author. bghira commented Oct 30, 2023. to be fair, neither of these schedulers are giving correct results. you might wish to simply use ALL of the model config values instead of ...

terminusresearch/pixart-900m-1024-ft-v0.6 - Hugging Face

pixart-900m-1024-ft This is a full rank finetune derived from ptx0/pixart-900m-1024-ft-large.. The main validation prompt used during training was: ethnographic photography of teddy bear at a picnic, ears tucked behind a cozy hoodie looking darkly off to the stormy picnic skies

FluxBooru GGUF Models - v0.3 GGUF Q_8 | Flux Checkpoint | Civitai

Thank you goes to terminusresearch and ptx0 for their respective versions. Recommend steps is 20 to 25 according to the author. Recommended CFG is 5 to 6 according to the author however I'm observing results also look fine at cfg 3.5 for all versions. Recommended Workflow in ComfyUI is

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