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hub / github.com/Netflix/void-model / infer_forward_api

Function infer_forward_api

videox_fun/api/api.py:108–213  ·  view source on GitHub ↗
(_: gr.Blocks, app: FastAPI, controller)

Source from the content-addressed store, hash-verified

106 return None
107
108def infer_forward_api(_: gr.Blocks, app: FastAPI, controller):
109 @app.post("/videox_fun/infer_forward")
110 def _infer_forward_api(
111 datas: dict,
112 ):
113 base_model_path = datas.get('base_model_path', 'none')
114 lora_model_path = datas.get('lora_model_path', 'none')
115 lora_alpha_slider = datas.get('lora_alpha_slider', 0.55)
116 prompt_textbox = datas.get('prompt_textbox', None)
117 negative_prompt_textbox = datas.get('negative_prompt_textbox', 'The video is not of a high quality, it has a low resolution. Watermark present in each frame. The background is solid. Strange body and strange trajectory. Distortion. ')
118 sampler_dropdown = datas.get('sampler_dropdown', 'Euler')
119 sample_step_slider = datas.get('sample_step_slider', 30)
120 resize_method = datas.get('resize_method', "Generate by")
121 width_slider = datas.get('width_slider', 672)
122 height_slider = datas.get('height_slider', 384)
123 base_resolution = datas.get('base_resolution', 512)
124 is_image = datas.get('is_image', False)
125 generation_method = datas.get('generation_method', False)
126 length_slider = datas.get('length_slider', 49)
127 overlap_video_length = datas.get('overlap_video_length', 4)
128 partial_video_length = datas.get('partial_video_length', 72)
129 cfg_scale_slider = datas.get('cfg_scale_slider', 6)
130 start_image = datas.get('start_image', None)
131 end_image = datas.get('end_image', None)
132 validation_video = datas.get('validation_video', None)
133 validation_video_mask = datas.get('validation_video_mask', None)
134 control_video = datas.get('control_video', None)
135 denoise_strength = datas.get('denoise_strength', 0.70)
136 seed_textbox = datas.get("seed_textbox", 43)
137
138 generation_method = "Image Generation" if is_image else generation_method
139
140 if start_image is not None:
141 if start_image.startswith('http'):
142 start_image = save_url_image(start_image)
143 start_image = [Image.open(start_image)]
144 else:
145 start_image = base64.b64decode(start_image)
146 start_image = [Image.open(BytesIO(start_image))]
147
148 if end_image is not None:
149 if end_image.startswith('http'):
150 end_image = save_url_image(end_image)
151 end_image = [Image.open(end_image)]
152 else:
153 end_image = base64.b64decode(end_image)
154 end_image = [Image.open(BytesIO(end_image))]
155
156 if validation_video is not None:
157 if validation_video.startswith('http'):
158 validation_video = save_url_video(validation_video)
159 else:
160 validation_video = save_base64_video(validation_video)
161
162 if validation_video_mask is not None:
163 if validation_video_mask.startswith('http'):
164 validation_video_mask = save_url_image(validation_video_mask)
165 else:

Callers

nothing calls this directly

Calls

no outgoing calls

Tested by

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