Reinforcement Learning
Diffusers
Safetensors
English
image-quality-assessment
vision-language
image-editing
Instructions to use RobinY99/MR-IQA-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use RobinY99/MR-IQA-2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("RobinY99/MR-IQA-2", 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
File size: 5,849 Bytes
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set -euo pipefail
ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)"
PROFILE="all"
CONDA_BIN="${CONDA_EXE:-}"
FLASH_WHEEL="${FLASH_ATTN_WHEEL:-}"
DRY_RUN=0
VERIFY=1
usage() {
cat <<'EOF'
Usage: bash scripts/setup_envs.sh [options]
Create the pinned MR-IQA-2 environments without activating them.
Options:
--profile NAME inference, training, test, or all (default: all)
--flash-attn-wheel PATH validated wheel required by training/all
--conda PATH conda executable (default: CONDA_EXE or PATH)
--no-verify install without import/tests verification
--dry-run print commands without changing the machine
-h, --help show this help
Examples:
bash scripts/setup_envs.sh --profile inference
bash scripts/setup_envs.sh --profile test
FLASH_ATTN_WHEEL=/abs/flash_attn.whl bash scripts/setup_envs.sh --profile all
EOF
}
die() {
echo "error: $*" >&2
exit 2
}
while (($#)); do
case "$1" in
--profile)
(($# >= 2)) || die "--profile requires a value"
PROFILE="$2"
shift 2
;;
--flash-attn-wheel)
(($# >= 2)) || die "--flash-attn-wheel requires a path"
FLASH_WHEEL="$2"
shift 2
;;
--conda)
(($# >= 2)) || die "--conda requires a path"
CONDA_BIN="$2"
shift 2
;;
--no-verify)
VERIFY=0
shift
;;
--dry-run)
DRY_RUN=1
shift
;;
-h|--help)
usage
exit 0
;;
*)
die "unknown argument: $1"
;;
esac
done
case "${PROFILE}" in
inference|training|test|all) ;;
*) die "unsupported profile: ${PROFILE}" ;;
esac
if [[ -z "${CONDA_BIN}" ]]; then
CONDA_BIN="$(command -v conda || true)"
fi
if [[ -z "${CONDA_BIN}" ]]; then
if ((DRY_RUN)); then
CONDA_BIN="conda"
else
die "conda was not found; install Miniconda/Conda or pass --conda"
fi
fi
if ((!DRY_RUN)) && [[ ! -x "${CONDA_BIN}" ]]; then
die "conda executable is not runnable: ${CONDA_BIN}"
fi
print_command() {
printf '+'
printf ' %q' "$@"
printf '\n'
}
run() {
print_command "$@"
if ((!DRY_RUN)); then
"$@"
fi
}
setup_conda_environment() {
local definition="$1"
local name="$2"
local requirements="$3"
run "${CONDA_BIN}" env update --file "${ROOT}/${definition}" --prune
run "${CONDA_BIN}" run --no-capture-output -n "${name}" \
python -m pip install --upgrade pip
run "${CONDA_BIN}" run --no-capture-output -n "${name}" \
python -m pip install -r "${ROOT}/${requirements}"
}
setup_gpu_environments() {
setup_conda_environment \
environment/actor-judge.yml \
mr_iqa_actor_judge \
requirements/actor-judge.txt
setup_conda_environment \
environment/editor.yml \
mr_iqa_editor \
requirements/editor.txt
}
verify_inference_environments() {
run "${CONDA_BIN}" run --no-capture-output -n mr_iqa_actor_judge \
python -c 'import torch, transformers, swift, vllm; print("Actor/Judge imports OK")'
run "${CONDA_BIN}" run --no-capture-output -n mr_iqa_editor \
python -c 'import diffusers, torch, transformers; print("Editor imports OK")'
}
require_flash_attention_wheel() {
[[ -n "${FLASH_WHEEL}" ]] || die \
"training requires --flash-attn-wheel or FLASH_ATTN_WHEEL"
if ((!DRY_RUN)); then
[[ -f "${FLASH_WHEEL}" ]] || die \
"FlashAttention wheel does not exist: ${FLASH_WHEEL}"
fi
}
install_flash_attention() {
if [[ -n "${FLASH_ATTN_WHEEL_SHA256:-}" ]] && ((!DRY_RUN)); then
local actual_sha
actual_sha="$(python3 - "${FLASH_WHEEL}" <<'PY'
import hashlib
import sys
from pathlib import Path
path = Path(sys.argv[1])
print(hashlib.sha256(path.read_bytes()).hexdigest())
PY
)"
[[ "${actual_sha}" == "${FLASH_ATTN_WHEEL_SHA256}" ]] || die \
"FlashAttention wheel SHA256 does not match FLASH_ATTN_WHEEL_SHA256"
fi
run "${CONDA_BIN}" run --no-capture-output -n mr_iqa_actor_judge \
python -m pip install "${FLASH_WHEEL}"
if ((VERIFY)); then
run "${CONDA_BIN}" run --no-capture-output -n mr_iqa_actor_judge \
python -c 'import flash_attn; print("FlashAttention import OK")'
fi
}
ensure_environment_template() {
if [[ ! -e "${ROOT}/.env" ]]; then
run cp "${ROOT}/.env.example" "${ROOT}/.env"
fi
}
setup_test_environment() {
run "${CONDA_BIN}" env update \
--file "${ROOT}/environment/test.yml" --prune
run "${CONDA_BIN}" run --no-capture-output -n mr_iqa_release_test \
python -m pip install --upgrade pip
run "${CONDA_BIN}" run --no-capture-output -n mr_iqa_release_test \
python -m pip install 'torch==2.11.0' \
--index-url https://download.pytorch.org/whl/cpu
run "${CONDA_BIN}" run --no-capture-output -n mr_iqa_release_test \
python -m pip install -r "${ROOT}/requirements/test.txt"
if ((VERIFY)); then
run "${CONDA_BIN}" run --no-capture-output -n mr_iqa_release_test \
python -c 'import PIL, numpy, pytest, requests, torch; print("Test imports OK")'
if [[ -f "${ROOT}/scripts/test_release.sh" && \
-f "${ROOT}/scripts/check_release.py" ]]; then
run "${CONDA_BIN}" run --no-capture-output -n mr_iqa_release_test \
bash "${ROOT}/scripts/test_release.sh"
fi
fi
}
case "${PROFILE}" in
inference)
setup_gpu_environments
((VERIFY)) && verify_inference_environments
;;
training)
require_flash_attention_wheel
setup_gpu_environments
install_flash_attention
((VERIFY)) && verify_inference_environments
ensure_environment_template
;;
test)
setup_test_environment
;;
all)
require_flash_attention_wheel
setup_gpu_environments
install_flash_attention
((VERIFY)) && verify_inference_environments
ensure_environment_template
setup_test_environment
;;
esac
echo "Environment setup complete for profile: ${PROFILE}"
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