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Running
on
Zero
File size: 3,988 Bytes
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from .imagen_museum import TASK_DICT, DOMAIN
from .imagen_museum import fetch_indexes, fetch_indexes_no_csv
import random
ARENA_TO_IG_MUSEUM = {"LCM(v1.5/XL)":"LCM", "PlayGroundV2.5": "PlayGroundV2_5", "FLUX.1-schnell": "FLUX1schnell", "FLUX.1-dev": "FLUX1dev"}
ARENA_TO_VG_MUSEUM = {"StableVideoDiffusion": "FastSVD", "CogVideoX-2B": "CogVideoX"}
def draw2_from_imagen_museum(task, model_name1, model_name2):
task_name = TASK_DICT[task]
model_name1 = ARENA_TO_IG_MUSEUM[model_name1] if model_name1 in ARENA_TO_IG_MUSEUM else model_name1
model_name2 = ARENA_TO_IG_MUSEUM[model_name2] if model_name2 in ARENA_TO_IG_MUSEUM else model_name2
domain = DOMAIN
baselink = domain + task_name
matched_results = fetch_indexes(baselink)
r = random.Random()
uid, value = r.choice(list(matched_results.items()))
image_link_1 = baselink + "/" + model_name1 + "/" + uid
image_link_2 = baselink + "/" + model_name2 + "/" + uid
if task == "t2i": # Image Gen
prompt = value['prompt']
return [[image_link_1, image_link_2], [prompt]]
if task == "tie": # Image Edit
instruction = value['instruction']
input_caption = value['source_global_caption']
output_caption = value['target_global_caption']
source_image_link = baselink + "/" + "input" + "/" + uid
return [[source_image_link, image_link_1, image_link_2], [input_caption, output_caption, instruction]]
else:
raise ValueError("Task not supported")
def draw_from_imagen_museum(task, model_name):
task_name = TASK_DICT[task]
model_name = ARENA_TO_IG_MUSEUM[model_name] if model_name in ARENA_TO_IG_MUSEUM else model_name
domain = DOMAIN
baselink = domain + task_name
matched_results = fetch_indexes(baselink)
r = random.Random()
uid, value = r.choice(list(matched_results.items()))
model = model_name
image_link = baselink + "/" + model + "/" + uid
print(image_link)
if task == "t2i": # Image Gen
prompt = value['prompt']
return [image_link, prompt]
if task == "tie": # Image Edit
instruction = value['instruction']
input_caption = value['source_global_caption']
output_caption = value['target_global_caption']
source_image_link = baselink + "/" + "input" + "/" + uid
return [[source_image_link, image_link], [input_caption, output_caption, instruction]]
else:
raise ValueError("Task not supported")
def draw2_from_videogen_museum(task, model_name1, model_name2):
domain = "https://github.com/ChromAIca/VideoGenMuseum/raw/main/Museum/"
baselink = domain + "VideoGenHub_Text-Guided_VG"
model_name1 = ARENA_TO_VG_MUSEUM[model_name1] if model_name1 in ARENA_TO_VG_MUSEUM else model_name1
model_name2 = ARENA_TO_VG_MUSEUM[model_name2] if model_name2 in ARENA_TO_VG_MUSEUM else model_name2
matched_results = fetch_indexes_no_csv(baselink)
r = random.Random()
uid, value = r.choice(list(matched_results.items()))
video_link_1 = baselink + "/" + model_name1 + "/" + uid
video_link_2 = baselink + "/" + model_name2 + "/" + uid
if task == "t2v": # Video Gen
prompt = value['prompt_en']
return [[video_link_1, video_link_2], [prompt]]
else:
raise ValueError("Task not supported")
def draw_from_videogen_museum(task, model_name):
domain = "https://github.com/ChromAIca/VideoGenMuseum/raw/main/Museum/"
baselink = domain + "VideoGenHub_Text-Guided_VG"
model_name = ARENA_TO_VG_MUSEUM[model_name] if model_name in ARENA_TO_VG_MUSEUM else model_name
matched_results = fetch_indexes_no_csv(baselink)
r = random.Random()
uid, value = r.choice(list(matched_results.items()))
model = model_name
video_link = baselink + "/" + model + "/" + uid
print(video_link)
if task == "t2v": # Video Gen
prompt = value['prompt_en']
return [video_link, prompt]
else:
raise ValueError("Task not supported") |