Portrait Generator V6 - Version Finale
Utilisation
INSTALLER.bat: installation/configuration completeLANCER.bat: lance ComfyUI puis Portrait Generator
Modes de generation
| Mode | Description | OpenPose | Upscale IA |
|---|---|---|---|
| SDXL rapide | JuggernautXL, rapide | Oui | Non |
| SDXL qualite | + steps, meilleur rendu | Oui | Oui |
| FLUX.2 Klein 4B | Premium, ultra-rapide | Non | Non |
| FLUX.2 Klein 9B | Premium avance, plus lourd | Non | Non |
| Hybride | Pose SDXL+OpenPose puis rendu FLUX.2 | Oui (SDXL) | Non |
Fonctionnalites
- Auto-save de toutes les images generees
- OpenPose pour controle de pose (SDXL uniquement)
- 4x-UltraSharp upscale IA (SDXL qualite haute resolution)
- 20 styles artistiques
- 1 a 8 images directement a la resolution finale
- Champs personnalises prioritaires sur les menus
- Mode hybride: combine pose precise SDXL + rendu premium FLUX.2
- Diagnostic automatique des composants installes
- Interface Dark mode responsive
- Galerie horizontale des 20 derniers portraits
Installation
L'installateur propose:
- PyTorch: Auto CUDA 13 / CPU
- ComfyUI: local / existant / personnalise
- Packs qualite: Manager + Impact + OpenPose + UltraSharp
- Modeles: JuggernautXL / FLUX.2 Klein 4B / FLUX.2 Klein 9B / Tous
Generated by ML Intern
This model repository was generated by ML Intern, an agent for machine learning research and development on the Hugging Face Hub.
- Try ML Intern: https://smolagents-ml-intern.hf.space
- Source code: https://github.com/huggingface/ml-intern
Usage
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = 'Albator2570/portrait-generator-v6'
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)
For non-causal architectures, replace AutoModelForCausalLM with the appropriate AutoModel class.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support