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This is an embedding of a woman that I've generated consistent faces of thru SD and decided to make into an embedding for easier access in the future. It uses a mere 5 tokens.
This is my first LoRa release, using 248 carefully selected images, iterating 6000 times, and taking 7 hours to train. It boasts amazing detail and generalization; it works very well. Feel free to use your...
Finetuned using a single epoch.
🖥️ GitHub | 🤗 Hugging Face | 📑 Paper | 🌐 Website
This model is a fine-tuned version of openai/whisper-medium on the afrispeech-200 dataset. It achieves the following results on the evaluation set: Loss: 0.7557 Wer: 22.4040 Cer: 8.9223
pipeline = DDPMPipeline.frompretrained('atomkevich/ddpm-celebahq-finetuned-butterflies-2epochs') image = pipeline().images[0] image
Lora with a vintage 1970s photography style.
Standard U-Net with: Encoder: 4 levels (64, 128, 256, 512 channels), each with two Conv3x3+BN+ReLU blocks followed by MaxPool2x2 Bottleneck: 1024 channels at 16x16 spatial resolution Decoder: 4 levels mirroring the...
Hugging Face | GitHub | Launch Blog | Documentation
概要 / Model Summary PrismPalette ANIMAは、Anima系モデルをベースとしたマージモデルです。美しいライティングと豊かな質感表現、そしてクリアな空気感が特徴です。 PrismPalette ANIMA is a merged model based on the Anima model series. It features beautiful lighting, rich texture expression, and a clear, atmospheric depth. 📜 ライセンス / License CircleStone Labs Non-Commercial License v1.2 📂 ファイルの配置 / File Placement (ComfyUI) 本モデルのご利用には、以下のコンポーネントをダウンロードし、それぞれのディレクトリに配置してください。 To use this model, please download the following components and place them into their respective directories: Model File: PrismPalette_ANIMA_v2.safetensors Path: ComfyUI/models/diffusion_models/ Text Encoder Repository: Hugging Face(circlestone-labs/Anima) File: qwen_3_06b_base.safetensors Path: ComfyUI/models/text_encoders/ VAE Repository: Hugging Face(circlestone-labs/Anima) File: qwen_image_vae.safetensors Path: ComfyUI/models/vae/ 📃 サンプルワークフロー / Sample Workflow (ComfyUI) Repository: Hugging Face(Noginowa/merge-experiment) File: comfyui-anima-workflow_basic.json ⚠ ご利用上の注意 / Usage Notes ❗ご利用開始前に必ずお読みください: 最適な結果を得るため、以下の「おすすめ設定」と「おすすめプロンプト」を必ず確認してください。 ❗MUST READ Before Use: To achieve optimal results, please ensure you check the "Recommended Settings" and "Recommended Prompts" sections below. ✨ おすすめ設定 / Recommended Settings CFG scale: 4-5 (おすすめ/Recommended: 4.5) Steps: 20-40 (おすすめ/Recommended: 30) Sampler: ER SDE BETA おすすめ。全体的なディテールがしっかり表現され、最も安定したクオリティが得られます。 Recommended. Provides the best balance of high detail and consistent image quality. Sampler: Euler A Normal 全体を柔らかく、ふんわりとした雰囲気に仕上げたい時におすすめです。 Ideal when you want a softer, gentler, and more relaxed aesthetic. 💬 おすすめプロンプト / Recommended Prompts Positive: masterpiece, best quality, score_9, score_8, score_7, year 2025, newest, highres, absurdres, very aesthetic, scenery Negative: nsfw, lowres, bad quality, worst quality, score_1, score_2, score_3, poorly drawn, flat color, sketch, jpeg artifacts, mutated, ugly, disfigured, long body, bad anatomy, bad hands, missing fingers, extra fingers, extra digits, fewer digits, simple background, transparent background, blurry, furry 🔗リンク / Link Hugging Face: https://huggingface.co/Noginowa Bluesky: https://bsky.app/profile/noginowa-ailab.bsky.social
The official code of CDistNet.
Trained on a tagged subset of the publicly available div2k photo dataset. Removed the 'realistic/photo/etc' style tags, so tags are not needed to get the effect of the lora, but adding the suggested tags helps a lot...
Détecteur YOLOv8m du robot quadrupède Boston Dynamics Spot, entraîné dans le cadre du projet FILDARIANE (CRIStAL/CNRS, stage Polytech Lille, 2026).
