Instructions to use AIhgenerator/anythingv4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AIhgenerator/anythingv4 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AIhgenerator/anythingv4", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
File size: 1,332 Bytes
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Activate virtualenv for current interpreter:
Use exec(open(this_file).read(), {'__file__': this_file}).
This can be used when you must use an existing Python interpreter, not the virtualenv bin/python.
""" # noqa: D415
from __future__ import annotations
import os
import site
import sys
try:
abs_file = os.path.abspath(__file__)
except NameError as exc:
msg = "You must use exec(open(this_file).read(), {'__file__': this_file}))"
raise AssertionError(msg) from exc
bin_dir = os.path.dirname(abs_file)
base = bin_dir[: -len("Scripts") - 1] # strip away the bin part from the __file__, plus the path separator
# prepend bin to PATH (this file is inside the bin directory)
os.environ["PATH"] = os.pathsep.join([bin_dir, *os.environ.get("PATH", "").split(os.pathsep)])
os.environ["VIRTUAL_ENV"] = base # virtual env is right above bin directory
os.environ["VIRTUAL_ENV_PROMPT"] = "" or os.path.basename(base) # noqa: SIM222
# add the virtual environments libraries to the host python import mechanism
prev_length = len(sys.path)
for lib in "..\\Lib\\site-packages".split(os.pathsep):
path = os.path.realpath(os.path.join(bin_dir, lib))
site.addsitedir(path.decode("utf-8") if "" else path)
sys.path[:] = sys.path[prev_length:] + sys.path[0:prev_length]
sys.real_prefix = sys.prefix
sys.prefix = base
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