koboldcpp/tests/test_koboldcpp.py
Wagner Bruna b437d18319
add support for cache modes to accelerate image generation (#2021)
* sd: sync to master-525-d6dd6d7

* sd: add support for cache modes for inference acceleration

* keep gendefaults as a JSON object inside the config file

* covered more invalid cases on gendefaults parsing
2026-03-15 15:27:14 +08:00

124 lines
4.2 KiB
Python

import sys
import os
parent_dir = os.path.abspath(os.path.join(__file__, "..", ".."))
sys.path.append(parent_dir)
import koboldcpp
def extract_loras_from_prompt(*args, **kwargs):
"""
>>> prompt = "no <lora: tag, even though with a : and 0> it could look like it"
>>> clean, data = extract_loras_from_prompt(prompt)
>>> clean
'no <lora: tag, even though with a : and 0> it could look like it'
>>> data
[]
>>> prompt = "even after a <lora:valid:1> tag, an unending <lora: tag should be ignored"
>>> clean, data = extract_loras_from_prompt(prompt)
>>> clean
'even after a tag, an unending <lora: tag should be ignored'
>>> data
[{'name': 'valid', 'multiplier': 1.0}]
>>> prompt = "A portrait <lora:models/face:0.8> with soft lighting"
>>> clean, data = extract_loras_from_prompt(prompt)
>>> clean
'A portrait with soft lighting'
>>> data
[{'name': 'models/face', 'multiplier': 0.8}]
>>> prompt = "<lora:foo:1.0> start <lora:|high_noise|bar:0.5> end"
>>> clean, data = extract_loras_from_prompt(prompt)
>>> clean
' start end'
>>> data
[{'name': 'foo', 'multiplier': 1.0}, {'name': 'bar', 'multiplier': 0.5, 'is_high_noise': True}]
>>> prompt = "bad <lora:bad:abc> good <lora:good:2>"
>>> clean, data = extract_loras_from_prompt(prompt)
>>> clean
'bad <lora:bad:abc> good '
>>> data
[{'name': 'good', 'multiplier': 2.0}]
>>> prompt = "x<lora:a:0.15>y<lora:b:0.2>z"
>>> clean, data = extract_loras_from_prompt(prompt)
>>> clean
'xyz'
>>> data
[{'name': 'a', 'multiplier': 0.15}, {'name': 'b', 'multiplier': 0.2}]
"""
return koboldcpp.extract_loras_from_prompt(*args, **kwargs)
def mk_lora_info(*args, **kwargs):
"""
>>> mk_lora_info(['/x/lora1.safetensors', '/y/lora2.gguf'], [])
[('/x/lora1.safetensors', 'lora1', 'lora1.safetensors', 1.0), ('/y/lora2.gguf', 'lora2', 'lora2.gguf', 1.0)]
>>> mk_lora_info(['/x/lora1.safetensors', '/y/lora1.safetensors'], [0.3])
[('/x/lora1.safetensors', 'lora1', 'lora1.safetensors', 0.3), ('/y/lora1.safetensors', 'lora1_2', 'lora1_2.safetensors', 0.3)]
>>> mk_lora_info(['./lora1.gguf', '/y/lora2.gguf', 'lora3.gguf'], [0, 0.3])
[('./lora1.gguf', 'lora1', 'lora1.gguf', 0), ('/y/lora2.gguf', 'lora2', 'lora2.gguf', 0.3), ('lora3.gguf', 'lora3', 'lora3.gguf', 0)]
"""
return koboldcpp.mk_lora_info(*args, **kwargs)
def sanitize_lora_multipliers(*args, **kwargs):
"""
>>> sanitize_lora_multipliers(None)
[1.0]
>>> sanitize_lora_multipliers(0.75)
[0.75]
>>> sanitize_lora_multipliers("2")
[2.0]
>>> sanitize_lora_multipliers([0.5, "1.2", 3])
[0.5, 1.2, 3.0]
>>> sanitize_lora_multipliers([])
[]
>>> sanitize_lora_multipliers(["bad", None, ""])
[0.0, 0.0, 0.0]
"""
return koboldcpp.sanitize_lora_multipliers(*args, **kwargs)
def gendefaults_parse_meta_field(*args, **kwargs):
'''
>>> [gendefaults_parse_meta_field(x) for x in [{}, None, '', "invalid json", ' ', 4]]
Warning: gendefaults field - not a JSON object.
Warning: couldn't parse gendefaults field.
Warning: gendefaults field - not a JSON object.
[{}, {}, {}, {}, {}, {}]
>>> [gendefaults_parse_meta_field(x) for x in ['["valid", "json"]', 'but', '1']]
Warning: gendefaults field - not a JSON object.
Warning: couldn't parse gendefaults field.
Warning: gendefaults field - not a JSON object.
[{}, {}, {}]
>>> gendefaults_parse_meta_field({"key": "value"})
{'key': 'value'}
>>> gendefaults_parse_meta_field(' "scheduler": "default", "steps": 10 ')
{'scheduler': 'default', 'steps': 10}
>>> gendefaults_parse_meta_field('{"cfg-scale": 0.5, "cfg_scale": 0.7}')
{'cfg-scale': 0.5, 'cfg_scale': 0.7}
>>> gendefaults_parse_meta_field('{"guidance": 1.2, "sampler": "ddim"}')
{'distilled_guidance': 1.2, 'sampler_name': 'ddim', 'guidance': 1.2, 'sampler': 'ddim'}
'''
return koboldcpp.gendefaults_parse_meta_field(*args, **kwargs)
if __name__ == '__main__':
import doctest
failures, _ = doctest.testmod()
if failures:
raise SystemExit(f"{failures} doctest{'s' if failures != 1 else ''} failed")