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FFusion - AnimAI Planet XL
FFAI 🦁🐶🐱 AnimAI Planet Demonstrations
Diamond, a fake person
PLEASE post your images directly to my lora page or add a tip for I can generate some buzz back to continue making loras. Thank you --
gemma-3-12b-it-Q6_K.gguf
Qwen3.6 27B SuperDense
> "Local intelligence... to the max."
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-AMD-MTP-Q6_K.gguf
byt5_small_glyphxl_fp16.safetensors
Editorial Cartoon Style
Stop prompting from scratch, explore 10,000+ Prompts for free 👉 PromptDexter.com
DarkBeast-Klein9b-V2-BFS-BF16-ComfyUI.safetensors
Seraphitalg Style | Anima/SDXL
A lora of the artstyle from Seraphitalg. Please show the artist support if you like the style.
huang (granblue fantasy) / フアン (グランブルーファンタジー)
outfit : dress,frilled dress,bare shoulders,detached sleeves,wide sleeves,frilled skirt,animal hands
LTX-2.3-Licon-MSR-V1.safetensors
Para7737 Style Loha
Base Model:Anima Optimizer:AdamW Scheduler:Cosine 删除角色名称标签 删除部分固定外观标签 保留场景、服装、动作等内容标签 目标为学习画风而非角色身份
Mobile Suit Gundam: The Witch from Mercury - Secelia
weight:0.6-0.8 base model: anythingV4.5
Bert Base Uncased Fold 0
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set: Loss: 0.0296 Accuracy: 0.9947 F1: 0.9902 Precision: 0.9971 Recall: 0.9833
Pablo Romero | ARTSTYLE (Retro Art Style) | LyCORIS | ownwaifu
Hello there! If you're enjoying my project, consider joining to our Ko-fi Memberships . and get ✂️ 50% discount on Commissions with other benefits. Your support means a lot, and as a thank-you, we'll be dropping a...
Min Min (ARMS)
This is a lycors\locon you have to use the additional networks extension or the lycoris extension for this to work.
Qwen3.6-27B-Fable-Fus-711-UnHeretic-NM-DAU-NEO-MAX-NEO-MTP-Q4_K_S.gguf
wan2.2_animate_14B_int8_convrot.safetensors
Humantaur
Oh boy, this was an annoying dataset to make. I had to review it twice. But it's finally here, and i hope it works.
Unit4b
This is a trained model of a Reinforce agent playing Pixelcopter-PLE-v0 . To learn to use this model and train yours check Unit 4 of the Deep Reinforcement Learning Course:
