Download ui/shared/ui_components.py from cbensimon/SUPIR: direct link, hf CLI and curl.
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5.04 kB
| import gradio as gr | |
| from comfy_integration.nodes import SAMPLER_CHOICES, SCHEDULER_CHOICES | |
| from core.settings import ( | |
| MAX_LORAS, LORA_SOURCE_CHOICES, RESOLUTION_MAP, MODEL_DEFAULTS_CONFIG | |
| ) | |
| default_vals = MODEL_DEFAULTS_CONFIG.get('Default', {}) | |
| DEFAULT_STEPS = default_vals.get('steps', 20) | |
| DEFAULT_CFG = default_vals.get('cfg', 5.0) | |
| DEFAULT_SAMPLER = default_vals.get('sampler_name', 'euler') | |
| DEFAULT_SCHEDULER = default_vals.get('scheduler', 'simple') | |
| DEFAULT_POS_PROMPT = default_vals.get('positive_prompt', '') | |
| DEFAULT_NEG_PROMPT = default_vals.get('negative_prompt', '') | |
| def create_base_parameter_ui(prefix, defaults=None): | |
| if defaults is None: | |
| defaults = {} | |
| components = {} | |
| with gr.Row(): | |
| components[f'aspect_ratio_{prefix}'] = gr.Dropdown( | |
| label="Aspect Ratio", | |
| choices=list(RESOLUTION_MAP.get('sdxl', {}).keys()), | |
| value="1:1 (Square)", | |
| interactive=True, | |
| allow_custom_value=True | |
| ) | |
| with gr.Row(): | |
| components[f'width_{prefix}'] = gr.Number(label="Width", value=defaults.get('w', 1024), interactive=True) | |
| components[f'height_{prefix}'] = gr.Number(label="Height", value=defaults.get('h', 1024), interactive=True) | |
| with gr.Row(): | |
| components[f'sampler_{prefix}'] = gr.Dropdown( | |
| label="Sampler", | |
| choices=SAMPLER_CHOICES, | |
| value=DEFAULT_SAMPLER if DEFAULT_SAMPLER in SAMPLER_CHOICES else (SAMPLER_CHOICES[0] if SAMPLER_CHOICES else 'euler') | |
| ) | |
| components[f'scheduler_{prefix}'] = gr.Dropdown( | |
| label="Scheduler", | |
| choices=SCHEDULER_CHOICES, | |
| value=DEFAULT_SCHEDULER if DEFAULT_SCHEDULER in SCHEDULER_CHOICES else (SCHEDULER_CHOICES[0] if SCHEDULER_CHOICES else 'simple') | |
| ) | |
| with gr.Row(): | |
| components[f'steps_{prefix}'] = gr.Slider(label="Steps", minimum=1, maximum=100, step=1, value=DEFAULT_STEPS) | |
| components[f'cfg_{prefix}'] = gr.Slider(label="CFG Scale", minimum=1.0, maximum=20.0, step=0.1, value=DEFAULT_CFG) | |
| with gr.Row(): | |
| components[f'seed_{prefix}'] = gr.Number(label="Seed (-1 for random)", value=-1, precision=0) | |
| components[f'batch_size_{prefix}'] = gr.Slider(label="Batch Size", minimum=1, maximum=16, step=1, value=1) | |
| with gr.Row(): | |
| components[f'guidance_{prefix}'] = gr.Slider(label="Guidance (FLUX)", minimum=1.0, maximum=10.0, step=0.1, value=3.5, visible=False, interactive=True) | |
| components[f'zero_gpu_{prefix}'] = gr.Number(label="ZeroGPU Duration (s)", value=None, placeholder="Default: 60s, Max: 120s", info="Optional: Set how long to reserve the GPU.") | |
| return components | |
| def create_lora_settings_ui(prefix: str): | |
| components = {} | |
| lora_rows, lora_sources, lora_ids, lora_scales, lora_uploads = [], [], [], [], [] | |
| with gr.Accordion("LoRA Settings", open=False, visible=True) as lora_accordion: | |
| components[f'lora_accordion_{prefix}'] = lora_accordion | |
| gr.Markdown("💡 **Tip:** When downloading from Civitai, please use the **Version ID**, not the Model ID. You can find the Version ID in the URL (e.g., `civitai.com/models/123?modelVersionId=456`) or under the model's download button. When downloading from Hugging Face, please use the format: `repo_id/filename.extension` or `repo_id/folder_path/filename.extension` (e.g., `Lightricks/LTX-Video/loras/ltx_lora.safetensors`).") | |
| components[f'lora_count_state_{prefix}'] = gr.State(1) | |
| for i in range(MAX_LORAS): | |
| with gr.Row(visible=i==0) as row: | |
| source = gr.Dropdown(label=f"LoRA Source {i+1}", choices=LORA_SOURCE_CHOICES, value=LORA_SOURCE_CHOICES[0], scale=1) | |
| lora_id = gr.Textbox(label="Civitai Version ID / HF file / Upload File", scale=2, type="text") | |
| scale = gr.Slider(label=f"Scale", minimum=0.0, maximum=2.0, step=0.05, value=1.0, scale=1) | |
| upload = gr.UploadButton(label="Upload", file_types=[".safetensors"], scale=1) | |
| lora_rows.append(row) | |
| lora_sources.append(source) | |
| lora_ids.append(lora_id) | |
| lora_scales.append(scale) | |
| lora_uploads.append(upload) | |
| with gr.Row(): | |
| components[f'add_lora_button_{prefix}'] = gr.Button("Add LoRA", variant="secondary") | |
| components[f'delete_lora_button_{prefix}'] = gr.Button("Remove LoRA", variant="secondary", visible=False) | |
| components[f'lora_rows_{prefix}'] = lora_rows | |
| components[f'lora_sources_{prefix}'] = lora_sources | |
| components[f'lora_ids_{prefix}'] = lora_ids | |
| components[f'lora_scales_{prefix}'] = lora_scales | |
| components[f'lora_uploads_{prefix}'] = lora_uploads | |
| all_lora_components_flat = [] | |
| for i in range(MAX_LORAS): | |
| all_lora_components_flat.extend([lora_sources[i], lora_ids[i], lora_scales[i], lora_uploads[i]]) | |
| components[f'all_lora_components_flat_{prefix}'] = all_lora_components_flat | |
| return components |