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1000 Butterflies 32
This model is a diffusion model for unconditional image generation of cute 🦋.
Imagenet Sae Top K 64 Patches Only Layer 11 Hook Resid Post 128 80
This model is a sparse autoencoder trained on CLIP's internal representations.
V01D-ANI | ANIME & ILLUSTRATION
OPTIONAL TAGS: YOU MAY INCLUDE THE FOLLOWING TAGS, AS THEY WERE CONSISTENTLY USED THROUGHOUT THE TRAINING DATASET CAPTIONS: score10up, score10, score9up, score9, masterpiece, anime style illustration.
LGM Demo
This custom pipeline encapsulates the full LGM pipeline, including multi-view diffusion.
SD Class Butterflies 32
This model is a diffusion model for unconditional image generation of cute 🦋.
ControlNet Kohaku Canny SDXL FP16
from diffusers import ControlNetModel import torch
VAE Banking77 OpenIntentClassification
This is a Variational Autoencoder (VAE) trained on the PolyAI/banking77 dataset.
Efficientnet B7 Int8 Ov
Model creator: torchvision Original model: efficientnetb7
KodoraNB
A model created by merging only NoobAI-based models.
Gigaam v3 Rnnt GGUF
GGUF conversions of ai-sage/GigaAM-v3 for use with transcribe.cpp.
SD Class Butterflies 64
This model is a diffusion model for unconditional image generation of cute 🦋.
Multi View Diffusion Demo
This is a copy of ashawkey/imagedream-ipmv-diffusers.
Promptda Vits Hf
with ONNX weights to be compatible with Transformers.js.
Car Chase Wan 2.1 I2V LoRA
Base model: Wan Video 14B i2v 480p Trained words: c4r ch4s3 car chase
Multi View Diffusion
This is a copy of ashawkey/imagedream-ipmv-diffusers.
Ghost In The Shell T2V Wan
Base model: Wan Video 14B t2v Trained words: gits-style
Model
This custom pipeline encapsulates the full LGM pipeline, including multi-view diffusion.
Sft Oasst1 Qwen3.6 35b A3b As Qwen3.5 4b Seed42
Dementor imitation (disguise) LoRA adapter — dataset oasst1, seed 42.
Imagenet Sae Top K 64 Patches Only Layer 4 Hook Resid Post 128 83
This model is a sparse autoencoder trained on CLIP's internal representations.
Efficientnet v2 S Int8 Ov
Model creator: torchvision Original model: efficientnetv2s
