Peut tu changer sa position en mode miniature youtube fortnite


README.md

@@ -1,144 +1,87 @@
----
-license: apache-2.0
-language:
-- en
-- zh
-library_name: diffusers
-pipeline_tag: image-to-image
----
-<p align="center">
-    <img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/qwen_image_edit_logo.png" width="400"/>
-<p>
-<p align="center">
-          💜 <a href="https://chat.qwen.ai/"><b>Qwen Chat</b></a>&nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/Qwen/Qwen-Image-Edit-2511">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/models/Qwen/Qwen-Image-Edit-2511">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/Qwen_Image.pdf">Tech Report</a> &nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://qwenlm.github.io/blog/qwen-image-edit-2511/">Blog</a> &nbsp&nbsp 
-<br>
-🖥️ <a href="https://huggingface.co/spaces/Qwen/Qwen-Image-Edit-2511">Demo</a>&nbsp&nbsp | &nbsp&nbsp💬 <a href="https://github.com/QwenLM/Qwen-Image/blob/main/assets/wechat.png">WeChat (微信)</a>&nbsp&nbsp | &nbsp&nbsp🫨 <a href="https://discord.gg/CV4E9rpNSD">Discord</a>&nbsp&nbsp| &nbsp&nbsp <a href="https://github.com/QwenLM/Qwen-Image">Github</a>&nbsp&nbsp
-</p>
-
-<p align="center">
-    <img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/Qwen-Image/edit2511/edit2511big.JPG#center" width="1600"/>
-<p>
-
-
-# Introduction
-
-We are excited to introduce Qwen-Image-Edit-2511, an enhanced version over Qwen-Image-Edit-2509, featuring multiple improvements—including notably better consistency. To try out the latest model, please visit [Qwen Chat](https://chat.qwen.ai/?inputFeature=image_edit) and select the Image Editing feature.
-
-Key enhancements in Qwen-Image-Edit-2511 include: mitigate image drift, improved character consistency，integrated LoRA capabilities， enhanced industrial design generation, and strengthened geometric reasoning ability.
-
-
-## Quick Start
-
-Install the latest version of diffusers
-```
-pip install git+https://github.com/huggingface/diffusers
-```
-
-The following contains a code snippet illustrating how to use `Qwen-Image-Edit-2511`:
-
-```python
-import os
 import torch
+from diffusers import AutoPipelineForImage2Image
+from diffusers.utils import load_image
+import gradio as gr
 from PIL import Image
-from diffusers import QwenImageEditPlusPipeline
-
-pipeline = QwenImageEditPlusPipeline.from_pretrained("Qwen/Qwen-Image-Edit-2511", torch_dtype=torch.bfloat16)
-print("pipeline loaded")
-
-pipeline.to('cuda')
-pipeline.set_progress_bar_config(disable=None)
-image1 = Image.open("input1.png")
-image2 = Image.open("input2.png")
-prompt = "The magician bear is on the left, the alchemist bear is on the right, facing each other in the central park square."
-inputs = {
-    "image": [image1, image2],
-    "prompt": prompt,
-    "generator": torch.manual_seed(0),
-    "true_cfg_scale": 4.0,
-    "negative_prompt": " ",
-    "num_inference_steps": 40,
-    "guidance_scale": 1.0,
-    "num_images_per_prompt": 1,
-}
-with torch.inference_mode():
-    output = pipeline(**inputs)
-    output_image = output.images[0]
-    output_image.save("output_image_edit_2511.png")
-    print("image saved at", os.path.abspath("output_image_edit_2511.png"))
-
-```
-
-## Showcase
-
-**Qwen-Image-Edit-2511 Enhances Character Consistency**
-In Qwen-Image-Edit-2511, character consistency has been significantly improved. The model can perform imaginative edits based on an input portrait while preserving the identity and visual characteristics of the subject.
-
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片1.JPG#center)
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片2.JPG#center)
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片3.JPG#center)
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片4.JPG#center)
-
-**Improved Multi-Person Consistency**
-While Qwen-Image-Edit-2509 already improved consistency for single-subject editing, Qwen-Image-Edit-2511 further enhances consistency in multi-person group photos—enabling high-fidelity fusion of two separate person images into a coherent group shot:
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片5.JPG#center)
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片6.JPG#center)
-
-**Built-in Support for Community-Created LoRAs**
-Since Qwen-Image-Edit’s release, the community has developed many creative and high-quality LoRAs—greatly expanding its expressive potential. Qwen-Image-Edit-2511 integrates selected popular LoRAs directly into the base model, unlocking their effects without extra tuning.
-
-For example, Lighting Enhancement LoRA
-Realistic lighting control is now achievable out-of-the-box:
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片7.JPG#center)
-
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片8.JPG#center)
-
-Another example, generating new viewpoints can now be done directly with the base model:
-
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片9.JPG#center)
-
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片10.JPG#center)
-
-**Industrial Design Applications**
-
-We’ve paid special attention to practical engineering scenarios—for instance, batch industrial product design:
-
-
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片11.JPG#center)
-
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片12.JPG#center)
-
-…and material replacement for industrial components:
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片13.JPG#center)
-
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片14.JPG#center)
-
-**Enhanced Geometric Reasoning**
-Qwen-Image-Edit-2511 introduces stronger geometric reasoning capability—e.g., directly generating auxiliary construction lines for design or annotation purposes:
-
-
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片15.JPG#center)
-
-![](https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-Image/edit2511/幻灯片16.JPG#center)
-
-That wraps up the major updates in Qwen-Image-Edit-2511.
-Enjoy exploring the new capabilities! 🎉
-
-## License Agreement
-
-Qwen-Image is licensed under Apache 2.0. 
-
-## Citation
-
-We kindly encourage citation of our work if you find it useful.
 
-```bibtex
-@misc{wu2025qwenimagetechnicalreport,
-      title={Qwen-Image Technical Report}, 
-      author={Chenfei Wu and Jiahao Li and Jingren Zhou and Junyang Lin and Kaiyuan Gao and Kun Yan and Sheng-ming Yin and Shuai Bai and Xiao Xu and Yilei Chen and Yuxiang Chen and Zecheng Tang and Zekai Zhang and Zhengyi Wang and An Yang and Bowen Yu and Chen Cheng and Dayiheng Liu and Deqing Li and Hang Zhang and Hao Meng and Hu Wei and Jingyuan Ni and Kai Chen and Kuan Cao and Liang Peng and Lin Qu and Minggang Wu and Peng Wang and Shuting Yu and Tingkun Wen and Wensen Feng and Xiaoxiao Xu and Yi Wang and Yichang Zhang and Yongqiang Zhu and Yujia Wu and Yuxuan Cai and Zenan Liu},
-      year={2025},
-      eprint={2508.02324},
-      archivePrefix={arXiv},
-      primaryClass={cs.CV},
-      url={https://arxiv.org/abs/2508.02324}, 
-}
-```
+# 1. Configuration du Modèle (On utilise SDXL Refiner ou Base pour la haute qualité)
+# Si tu as une carte graphique (GPU), cela prendra quelques secondes. Sur CPU, c'est lent.
+model_id = "stabilityai/stable-diffusion-xl-refiner-1.0" 
+
+# Vérification du matériel (GPU vs CPU)
+device = "cuda" if torch.cuda.is_available() else "cpu"
+dtype = torch.float16 if device == "cuda" else torch.float32
+
+print(f"Chargement du modèle sur {device}...")
+
+# Chargement du pipeline Image-to-Image
+pipe = AutoPipelineForImage2Image.from_pretrained(
+    model_id, 
+    torch_dtype=dtype, 
+    use_safetensors=True
+)
+pipe.to(device)
+
+# 2. La fonction de transformation
+def modifier_skin(image_source, prompt_utilisateur, strength_value):
+    # Prompt de base pour forcer le style Fortnite Miniature
+    base_prompt = "Fortnite style 3D render, unreal engine 5, 8k, highly detailed, glossy skin, vibrant colors, victory royale atmosphere, volumetric lighting, ray tracing"
+    
+    # Prompt négatif pour éviter les déformations
+    negative_prompt = "ugly, blurry, low quality, pixelated, bad anatomy, deformed hands, watermark, text"
+    
+    final_prompt = f"{prompt_utilisateur}, {base_prompt}"
+    
+    # Redimensionner l'image pour optimiser la vitesse (SDXL aime le 1024x1024 environ)
+    image_source = image_source.convert("RGB")
+    image_source.thumbnail((1024, 1024))
+
+    # Génération
+    # 'strength' définit à quel point on modifie l'image originale (0.1 = peu, 1.0 = total)
+    image_generee = pipe(
+        prompt=final_prompt,
+        negative_prompt=negative_prompt,
+        image=image_source,
+        strength=strength_value, 
+        guidance_scale=7.5,
+        num_inference_steps=30
+    ).images[0]
+    
+    return image_generee
+
+# 3. Interface Utilisateur (Gradio)
+custom_css = """
+#col-container {max_width: 800px; margin-left: auto; margin-right: auto;}
+"""
+
+with gr.Blocks(css=custom_css) as demo:
+    with gr.Column(elem_id="col-container"):
+        gr.Markdown("# 🎮 Générateur de Miniatures Fortnite (Style Render 3D)")
+        gr.Markdown("Transforme une capture d'écran basique en rendu 3D haute qualité pour YouTube.")
+        
+        with gr.Row():
+            with gr.Column():
+                input_img = gr.Image(label="Ton image de base (Skin)", type="pil")
+                prompt_input = gr.Textbox(
+                    label="Description du Skin (Anglais recommandé)", 
+                    value="female character, red hair, black mask, holding a golden trophy",
+                    placeholder="Ex: Ramirez skin holding a scar..."
+                )
+                strength_slider = gr.Slider(
+                    label="Force de la modification (0.3 = Retouche légère / 0.7 = Gros changement)", 
+                    minimum=0.1, maximum=1.0, value=0.45, step=0.05
+                )
+                run_btn = gr.Button("Générer le Render 🔥", variant="primary")
+            
+            with gr.Column():
+                output_img = gr.Image(label="Résultat Render 3D")
+
+        run_btn.click(
+            fn=modifier_skin, 
+            inputs=[input_img, prompt_input, strength_slider], 
+            outputs=[output_img]
+        )
+
+# Lancement de l'app
+if __name__ == "__main__":
+    demo.launch()