Resource directory
Find what you need for your workflow.
Guides: techniques, setup, and troubleshootingSearch Sweet Tea Pipes, external workflows, models, node packs, and guides in one evidence-linked catalog.
Start with a workflow instead ↗Search results
All resources
18 shown of 33,954
Lilas
Model type: Detailed illust model (Epsilon pred)
SD Class Butterflies 32
This model is a diffusion model for unconditional image generation of cute 🦋.
Efficientnet B2 Int8 Ov
Model creator: torchvision Original model: efficientnetb2
Imagenet Sae Top K 64 Patches Only Layer 5 Hook Resid Post 128 79
This model is a sparse autoencoder trained on CLIP's internal representations.
Face Landmark ControlNet From Georgefen Diffusers
This is , but works on Diffusers off the shelf.
Sft Gsm8k Nemotron Nano 30b A3b As Qwen3.5 4b Seed43
Dementor imitation (disguise) LoRA adapter — dataset gsm8k, seed 43.
Imagenet Sae Top K 64 Patches Only Layer 5 Hook Resid Post 128 85
This model is a sparse autoencoder trained on CLIP's internal representations.
SD Class Butterflies 32
This model is a diffusion model for unconditional image generation of cute 🦋.
SD Class Butterflies 32
This model is a diffusion model for unconditional image generation of cute 🦋.
Efficientnet v2 L Int8 Ov
Model creator: torchvision Original model: efficientnetv2l
Ektome Qwen1.5 0.5B Chat PristinelyUncensored
Uncensored. No n=2800 certificate has been run for this model, so no capability-retention claim is made.
Radiance Turbo - Anima Model
Radiance Turbo is a high-speed Anima model fine-tuned for high fantasy and epic fantasy artwork, with an emphasis on intricate, detailed clothing and cinematic lighting . This has been created as a sister model to...
Deimv2 L FP16 Ov
Model creator: GetiTM Original model: DEIMv2-L
RM26 Engineer Exchange Model
RM2026 工程机器人视觉模型的 OpenVINO FP16 部署权重,用于 NUC / 边缘推理。
Tempo 6B Stage2
This repository contains the Stage 2 intermediate checkpoint for Tempo-6B.
Beto Ner Prostata Bs32
This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set: Loss: 0.0693 Precision: 0.9459 Recall: 0.9574 F1: 0.9517
Imagenet Sae Top K 64 Patches Only Layer 10 Hook Resid Post 128 86
This model is a sparse autoencoder trained on CLIP's internal representations.
Sd1 Class Butterflies 32
This model is a diffusion model for unconditional image generation of cute 🦋.
