Update app.py
Browse files
app.py
CHANGED
|
@@ -15,37 +15,31 @@ if hf_token:
|
|
| 15 |
|
| 16 |
model_id = "black-forest-labs/FLUX.1-schnell"
|
| 17 |
|
| 18 |
-
#
|
| 19 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 20 |
|
| 21 |
lora_repo = None
|
| 22 |
lora_path = None
|
| 23 |
|
| 24 |
-
|
| 25 |
-
|
| 26 |
-
"Photoréaliste": "lora", # Le fichier s'appelle souvent "lora.safetensors"
|
| 27 |
-
"Artistique": "artistic",
|
| 28 |
-
"Anime": "anime",
|
| 29 |
-
"3D Render": "3d_render",
|
| 30 |
-
"Peinture à l'huile": "oil_painting",
|
| 31 |
-
"Aquarelle": "watercolor",
|
| 32 |
-
"Cyberpunk": "cyberpunk",
|
| 33 |
-
"Fantasy": "fantasy"
|
| 34 |
-
}
|
| 35 |
-
|
| 36 |
-
# Prompt par défaut
|
| 37 |
-
DEFAULT_PROMPT = "A stunning portrait of a woman with flowing red hair, piercing green eyes, natural lighting, ultra detailed, 8k quality, professional photography"
|
| 38 |
-
|
| 39 |
-
def load_lora(repo_id, style_key):
|
| 40 |
global lora_repo, lora_path
|
|
|
|
|
|
|
|
|
|
| 41 |
try:
|
| 42 |
-
style_filename = STYLES.get(style_key, style_key)
|
| 43 |
-
filename = f"{style_filename}_lora.safetensors"
|
| 44 |
lora_path = hf_hub_download(repo_id=repo_id, filename=filename)
|
| 45 |
lora_repo = repo_id
|
| 46 |
-
return f"✅ LoRA chargé : {repo_id}
|
| 47 |
except Exception as e:
|
| 48 |
-
return f"❌ Erreur : {str(e)}"
|
| 49 |
|
| 50 |
@spaces.GPU(duration=120)
|
| 51 |
def generate(prompt, negative_prompt="", width=1024, height=1024, steps=4, seed=-1, lora_scale=0.8):
|
|
@@ -100,17 +94,24 @@ with gr.Blocks(title="Flux Schnell + LoRA") as demo:
|
|
| 100 |
with gr.Row():
|
| 101 |
with gr.Column():
|
| 102 |
# LoRA
|
| 103 |
-
gr.Markdown("###
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
lora_repo_input = gr.Textbox(
|
| 105 |
label="Repository LoRA",
|
| 106 |
-
placeholder="
|
| 107 |
-
value=
|
| 108 |
)
|
| 109 |
-
|
| 110 |
-
|
| 111 |
-
|
| 112 |
-
value="
|
| 113 |
-
interactive=True
|
| 114 |
)
|
| 115 |
load_btn = gr.Button("Charger LoRA")
|
| 116 |
lora_status = gr.Textbox(label="Status", interactive=False)
|
|
@@ -142,21 +143,22 @@ with gr.Blocks(title="Flux Schnell + LoRA") as demo:
|
|
| 142 |
|
| 143 |
with gr.Column():
|
| 144 |
output_image = gr.Image(label="Image générée", type="pil")
|
| 145 |
-
gr.Markdown("### Conseils")
|
| 146 |
gr.Markdown("""
|
| 147 |
-
- **
|
| 148 |
-
- **
|
| 149 |
-
- **
|
| 150 |
-
- **
|
| 151 |
|
| 152 |
-
|
| 153 |
-
|
|
|
|
| 154 |
""")
|
| 155 |
|
| 156 |
# Actions
|
| 157 |
load_btn.click(
|
| 158 |
fn=load_lora,
|
| 159 |
-
inputs=[lora_repo_input,
|
| 160 |
outputs=lora_status
|
| 161 |
)
|
| 162 |
|
|
|
|
| 15 |
|
| 16 |
model_id = "black-forest-labs/FLUX.1-schnell"
|
| 17 |
|
| 18 |
+
# Prompt par défaut
|
| 19 |
+
DEFAULT_PROMPT = "A stunning portrait of a woman with flowing red hair, piercing green eyes, natural lighting, ultra detailed, 8k quality, professional photography"
|
| 20 |
+
|
| 21 |
+
# Note: FLUX.1-schnell n'utilise PAS de LoRA par défaut
|
| 22 |
+
# Le modèle de base est déjà optimisé pour la génération rapide
|
| 23 |
+
# Si vous voulez ajouter des LoRA, utilisez des repositories communautaires comme:
|
| 24 |
+
# - XLabs-AI/flux-RealismLora
|
| 25 |
+
# - Shakker-Labs/FLUX.1-dev-LoRA-collections
|
| 26 |
+
# etc.
|
| 27 |
|
| 28 |
lora_repo = None
|
| 29 |
lora_path = None
|
| 30 |
|
| 31 |
+
def load_lora(repo_id, filename):
|
| 32 |
+
"""Charge un LoRA depuis un repository HuggingFace"""
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 33 |
global lora_repo, lora_path
|
| 34 |
+
if not repo_id or not filename:
|
| 35 |
+
return "⚠️ Veuillez renseigner le repository ET le nom du fichier"
|
| 36 |
+
|
| 37 |
try:
|
|
|
|
|
|
|
| 38 |
lora_path = hf_hub_download(repo_id=repo_id, filename=filename)
|
| 39 |
lora_repo = repo_id
|
| 40 |
+
return f"✅ LoRA chargé : {repo_id}/{filename}"
|
| 41 |
except Exception as e:
|
| 42 |
+
return f"❌ Erreur : {str(e)}\n\nVérifiez que le repository contient bien ce fichier."
|
| 43 |
|
| 44 |
@spaces.GPU(duration=120)
|
| 45 |
def generate(prompt, negative_prompt="", width=1024, height=1024, steps=4, seed=-1, lora_scale=0.8):
|
|
|
|
| 94 |
with gr.Row():
|
| 95 |
with gr.Column():
|
| 96 |
# LoRA
|
| 97 |
+
gr.Markdown("### 🎨 Ajouter un LoRA (optionnel)")
|
| 98 |
+
gr.Markdown("""
|
| 99 |
+
⚠️ **Important** : Le modèle de base FLUX.1-schnell fonctionne **sans LoRA**.
|
| 100 |
+
|
| 101 |
+
Si vous voulez ajouter un style avec un LoRA, utilisez des repositories communautaires :
|
| 102 |
+
- `XLabs-AI/flux-RealismLora` (fichier: `lora.safetensors`)
|
| 103 |
+
- `Shakker-Labs/FLUX.1-dev-LoRA-add-details` (fichier: `FLUX-dev-lora-add_details.safetensors`)
|
| 104 |
+
""")
|
| 105 |
+
|
| 106 |
lora_repo_input = gr.Textbox(
|
| 107 |
label="Repository LoRA",
|
| 108 |
+
placeholder="Ex: XLabs-AI/flux-RealismLora",
|
| 109 |
+
value=""
|
| 110 |
)
|
| 111 |
+
lora_filename = gr.Textbox(
|
| 112 |
+
label="Nom du fichier LoRA",
|
| 113 |
+
placeholder="Ex: lora.safetensors",
|
| 114 |
+
value=""
|
|
|
|
| 115 |
)
|
| 116 |
load_btn = gr.Button("Charger LoRA")
|
| 117 |
lora_status = gr.Textbox(label="Status", interactive=False)
|
|
|
|
| 143 |
|
| 144 |
with gr.Column():
|
| 145 |
output_image = gr.Image(label="Image générée", type="pil")
|
| 146 |
+
gr.Markdown("### 💡 Conseils")
|
| 147 |
gr.Markdown("""
|
| 148 |
+
- **Modèle de base** : FLUX.1-schnell (rapide, sans LoRA nécessaire)
|
| 149 |
+
- **Steps recommandés** : 4 pour Schnell
|
| 150 |
+
- **Résolution** : 1024x1024 par défaut
|
| 151 |
+
- **LoRA Scale** : 0.8 pour un effet équilibré (ajustez entre 0-1)
|
| 152 |
|
| 153 |
+
**Exemples de repositories LoRA compatibles :**
|
| 154 |
+
- [XLabs-AI/flux-RealismLora](https://huggingface.co/XLabs-AI/flux-RealismLora)
|
| 155 |
+
- [Shakker-Labs collections](https://huggingface.co/Shakker-Labs)
|
| 156 |
""")
|
| 157 |
|
| 158 |
# Actions
|
| 159 |
load_btn.click(
|
| 160 |
fn=load_lora,
|
| 161 |
+
inputs=[lora_repo_input, lora_filename],
|
| 162 |
outputs=lora_status
|
| 163 |
)
|
| 164 |
|