Deploy the texture-agent-service locally using Docker Compose, including hosted/simple image generation, optional local FLUX.2 and LLM NIM sidecars, and an operator-mounted Texture Variation API / Step1X-compatible overlay with OVRTX. Use when user wants to run texture agent with docker, docker compose, set up local deployment, run UV-aware texture projection locally, validate an existing Step1X-compatible backend, start the texture-agent service containers, or route image generation to local sidecars. Trigger phrases include "docker compose texture", "docker deploy texture", "run texture agent locally", "start texture agent docker", "texture agent up", "local texture deployment", "image-gen sidecar", "step1x overlay", "uv-aware texture".
Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.
Quelldateien prüfen
Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Ein direkter Befehl überspringt den Prüf-Prompt. Prüfen Sie die Quelle, bevor Sie ihn ausführen.
Deploy the texture-agent-service locally using Docker Compose, including hosted/simple image generation, optional local FLUX.2 and LLM NIM sidecars, and an operator-mounted Texture Variation API / Step1X-compatible overlay with OVRTX. Use when user wants to run texture agent with docker, docker compose, set up local deployment, run UV-aware texture projection locally, validate an existing Step1X-compatible backend, start the texture-agent service containers, or route image generation to local sidecars. Trigger phrases include "docker compose texture", "docker deploy texture", "run texture agent locally", "start texture agent docker", "texture agent up", "local texture deployment", "image-gen sidecar", "step1x overlay", "uv-aware texture".
Requires Docker daemon, Docker Compose v2.24+, compose-interpolated TA/TEXTURE/OVRTX settings in the shell or repo-root .env passed with --env-file, provider keys for hosted backends, free host port 8001 for the main service, optional ports 8005 and 8006 for local NIM sidecars, and optional ports 8019, 8018, and 8002 plus NVIDIA GPU support for the operator-mounted Step1X-compatible overlay. Step1X overlay runs require NVIDIA Container Toolkit and a reviewed runtime mounted with TEXTURE_STEP1X_HOST_RUNTIME.
Deploy Texture Agent Service with Docker Compose
Deploy the Texture Agent service locally with Docker Compose. Pick the smallest
mode that matches the user's goal:
Default service:texture-agent-service on port 8001, using the
configured hosted/simple image-generation backend.
Local NIM sidecars: optional FLUX.2 image generation and LLM sidecars
for local image-gen or auto-prompt calls.
Operator-mounted Step1X-compatible overlay: Texture Agent plus the simple
Texture Variation API sidecar, a Step1X-compatible API adapter, and OVRTX
rendering. The public release does not install or download the Step1X runtime.
When to Use
Use when the user wants to run texture-agent-service locally with Docker
Compose, with hosted image-gen or optional local FLUX.2 / LLM NIM sidecars.
Use when the user wants UV-aware texture generation through a Texture Variation
API backend, including a Step1X-compatible runtime they already mounted.
Use when the user wants a fake-runner smoke test for container wiring without
Step1X model weights.
Use quickstart for a shorter first local POC, and use deploy-collection
when running multiple Content Agents together.
Limitations
The main service owns host port 8001, overlapping other local Content Agent
stacks that expose a primary service.
The default hosted nim image backend is text-only and cannot accept
reference images for tightly matched PBR sets; use a conditioning-capable
backend or an operator-mounted Texture Variation API backend for UV-aware
texture evidence.
Local NIM sidecars require idle GPUs, NGC auth, and model warm-up time.
The Step1X runtime, model weights, third-party checkouts, and caches are not
committed to this repository. The public Compose overlay requires a runtime
directory that has already been prepared and reviewed by the operator.
Full Step1X-compatible validation needs GPU memory and runtime assets. Two
GPUs are preferred: one for the texture backend, one for OVRTX.
The Step1X-compatible overlay validates service topology and compatible USD
assets; it is not a blanket guarantee that every arbitrary USD can be edited
without target-specific material scope, UV, or backend configuration.
The overlay defaults to the Step1X-compatible backend for normal requests but
also starts the simple Texture Variation sidecar. Requests can select
texture_backend=simple_image_gen without restarting or redeploying the stack.
OVRTX mounts the session volume read-only and host at so
render requests can resolve generated USDs and host temp paths.
/tmp
/host_tmp
One-GPU shared validation has no runtime GPU contention guard after startup.
Defaults serialize texture workers and render requests, but operators should
run one pipeline job at a time or use separate GPUs for final evidence.
Keep secrets out of chat and commits. Tell the user to edit .env; do not
ask them to paste keys.
Prerequisites
Docker 20.10+ with Compose v2.24+: docker compose version
A free main-service port, normally 8001
Provider creds for hosted backends/Step1X auto-prompt, usually
NVIDIA_API_KEY; send auto_prompt_enabled=false to avoid hosted LLM calls
For local NIM sidecars:
NVIDIA GPU capacity for each enabled sidecar
NVIDIA Container Toolkit: docker run --rm --gpus all nvidia/cuda:12.0-base nvidia-smi
NGC auth for pulling nvcr.io/nim/* images
NGC_API_KEY and, for FLUX.2, HF_TOKEN in repo-root .env
For the Step1X-compatible overlay:
NVIDIA GPU and NVIDIA Container Toolkit
Free ports 8001, 8019, 8018, and 8002, or overrides for
TA_HOST_PORT, TEXTURE_SIMPLE_PORT, TEXTURE_STEP1X_PORT, and
OVRTX_HOST_PORT
A reviewed runtime directory available on the host and passed as
TEXTURE_STEP1X_HOST_RUNTIME
A container-visible Python/runtime command configured with
TEXTURE_STEP1X_PYTHON, TEXTURE_STEP1X_EDIT_SCRIPT, or
TEXTURE_STEP1X_COMMAND_TEMPLATE
Reproducible evidence tools: curl, jq, and unzip
Instructions
Choose the deployment mode: default service, local NIM sidecars, or
operator-mounted Step1X-compatible overlay.
From the repo root, create or update .env. Compose reads repo-root .env
when invoked with --env-file .env; put Compose-interpolated
TA_*/TEXTURE_*/OVRTX_* overrides there or in the shell. If all
overrides come from the shell, run touch .env first because
--env-file .env still requires the file to exist.
Start the chosen Compose stack from the repository root.
Check health endpoints before reporting the service ready. For
operator-mounted Step1X-compatible runs, query /health on the backend and
require runtime readiness before treating output as real model evidence.
Use apps/texture_gen_step1x_service/README.md for the runtime contract and
apps/texture_agent/examples/simple_image_gen_bucket/README.md for the
public simple-image-gen baseline.
Return service URLs, active backend, sidecar state, log commands, and stop
commands using the output format below.
Default Service
The default service starts only texture-agent-service. By default it uses
TA_TEXTURE_BACKEND=simple_image_gen, TA_IMAGE_GEN_BACKEND=nim, and the
hosted NVIDIA FLUX.2 endpoint at build.nvidia.com.
Main endpoints are http://localhost:8001/health and
http://localhost:8001/docs.
Hosted Backend Overrides
Use shell variables or repo-root .env passed with --env-file .env for
Compose-interpolated TA_* settings. Precedence is explicit Compose
environment: entries first, then shell or repo-root --env-file .env
interpolation, then service-local apps/texture_agent_service/.env;
service-local TA_* values do not override explicit Compose environment:
entries.
Set TA_IMAGE_GEN_BACKEND=gemini with GOOGLE_API_KEY, or
TA_IMAGE_GEN_BACKEND=openai with OPENAI_API_KEY. Leave
TA_IMAGE_GEN_BACKEND=nim for the hosted NVIDIA default.
Local NIM Sidecars
Two optional sidecars can replace hosted calls:
image-gen-nim: FLUX.2 Klein 4B. Profile: image-gen. Port 8005.
llm-nim: Llama 3.1 Nemotron Nano 8B. Profile: llm. Port 8006.
Put NGC_API_KEY and HF_TOKEN in repo-root .env because the NIM services
read the repo-root env file. The multi-GPU overlay routes the main service to
the in-network sidecar endpoints and pins sidecars to specific GPUs.
printf'%s'"$NGC_API_KEY" | docker login nvcr.io \
--username '$oauthtoken' --password-stdin
cat >> .env <<'EOF'
NGC_API_KEY=YOUR_NGC_API_KEY_HERE
HF_TOKEN=YOUR_HF_TOKEN_HERE
EOF
# Image-gen sidecar; add `--profile llm` for the LLM sidecar too
docker compose --env-file .env -f apps/texture_agent_service/docker-compose.yml -f apps/texture_agent_service/docker-compose.multi-gpu.yml --profile image-gen up --build
Edit both NVIDIA_VISIBLE_DEVICES and device_ids in
apps/texture_agent_service/docker-compose.multi-gpu.yml when GPU 0 or 1
is not free. That overlay pins the local NIM sidecars directly in YAML rather
than through shell variables.
Check:
curl -fsS http://localhost:8001/health
curl -fsS http://localhost:8005/v1/health/ready # if --profile image-gen is enabled
curl -fsS http://localhost:8006/v1/health/ready # if --profile llm is enabled
Operator-Mounted Step1X + OVRTX Overlay
Use this mode only after the Step1X-compatible runtime has been reviewed,
prepared, and mounted by the operator. The overlay starts Texture Agent, the
simple Texture Variation API, the Step1X-compatible API adapter, and OVRTX.
The overlay requires TEXTURE_STEP1X_HOST_RUNTIME and does not create, clone,
install, download, or cache Step1X, Material Anything, Swin2SR, Kaolin,
nvdiffrast, or model checkpoints. Use
apps/texture_gen_step1x_service/README.md for the runtime contract and health
payload expectations.
Before reporting Step1X-compatible evidence, make sure the backend /health
endpoint is ready. Also check the simple sidecar /livez or /health endpoint
when the user asks for full sidecar proof. On one GPU, run only one pipeline job
at a time.
For container-wiring smoke without model weights, use the bundled fake runner
through the same overlay. This proves API, sidecar DNS, shared session volume,
texture application, and render plumbing, but must not be presented as
model-quality Step1X output. The command template below assumes the standard
service image layout where the repo is mounted at /workspace/world-understanding;
adjust the script path if you use a custom image or mount point:
# Default service
docker compose --env-file .env -f apps/texture_agent_service/docker-compose.yml down
# Step1X-compatible overlay: stop with the same compose file list used for `up`.# Add `-v` only when you intentionally want a clean session-volume reset.
Resource Requirements
Configuration
GPUs
CPU
Memory
Default service with hosted image-gen and hosted LLM
0
4 limit
8 GB limit
Image-gen NIM sidecar
1, 24 GB+
8 recommended
24 GB recommended
LLM NIM sidecar
1, 48 GB
8 recommended
24 GB recommended
Both NIM sidecars
2
12 recommended
40 GB recommended
Step1X-compatible overlay, texture backend and OVRTX on separate GPUs
2
12 recommended
40 GB recommended
Step1X-compatible overlay, one-GPU serial or shared-GPU validation
1
12 recommended
40 GB recommended
Only texture-agent-service defines CPU and memory limits in Compose; GPU
sidecar rows are host sizing guidance. The simple Texture Variation sidecar is
CPU-only and does not add a GPU request.
Environment Variables
This list only covers high-signal wiring. See
apps/texture_agent_service/docs/api.md#configuration for the full Texture
Agent service table and apps/texture_gen_step1x_service/README.md for the
Step1X runtime contract.
Variable
Default
Description
NVIDIA_API_KEY
-
NVIDIA inference / cloud NIM backend key
GOOGLE_API_KEY
-
Gemini provider key
OPENAI_API_KEY
-
Hosted OpenAI provider key
NGC_API_KEY
-
NGC auth for local NIM images
HF_TOKEN
-
Hugging Face token for FLUX.2 NIM weight download
TA_IMAGE_GEN_BACKEND
service default nim
nim, gemini, or openai for simple image-gen path
TA_IMAGE_GEN_BASE_URL
service default backend-specific
Override for hosted or local image-gen endpoint
TA_TEXTURE_PLAN_DEFAULT_CAP
32
Generic/simple-image-gen planning default
TA_TEXTURE_PLAN_UV_AWARE_DEFAULT_CAP
16
UV-aware/service and Step1X planning default
TA_TEXTURE_PLAN_HARD_CAP
64
Immutable per-plan hard maximum before backend work
TA_MAX_TEXTURE_UNITS
64
Compatibility executor guard; keep aligned with the planning hard cap
TEXTURE_GEN_BACKEND
simple sidecar default
Simple Texture Variation sidecar provider (nim, gemini, or openai; installed plugins may add providers)
TEXTURE_GEN_API_KEY
unset
Optional endpoint-scoped simple sidecar key. Leave unset for hosted providers so NVIDIA_API_KEY, GOOGLE_API_KEY/GEMINI_API_KEY, or OPENAI_API_KEY is used; set not-used only for no-auth local endpoints
TEXTURE_GEN_SIMPLE_ENV_FILE
/dev/null
Optional extra env file for the simple sidecar when provider keys live outside this checkout; prefer this over relying on Compose --env-file for container secrets
TEXTURE_STEP1X_HOST_RUNTIME
required for overlay
Host runtime directory mounted into the Step1X-compatible API adapter
TEXTURE_STEP1X_GPU_DEVICE
0
GPU device ID for the Step1X sidecar
OVRTX_GPU_DEVICE
1
GPU device ID for the OVRTX sidecar; set both GPU vars to 0 on one-GPU hosts
TEXTURE_STEP1X_PYTHON
runtime default
Advanced override for custom mounted runtimes
TEXTURE_STEP1X_LD_LIBRARY_PATH
reference .venv_gen torch/CUDA libs
Advanced override when a custom mounted runtime stores CUDA libraries elsewhere
TEXTURE_STEP1X_HEALTHCHECK_RUNTIME_IMPORTS
readiness healthcheck true
Runs cached torch/CuPy/NVRTC probe when healthcheck.py checks /health
TEXTURE_STEP1X_HEALTHCHECK_TIMEOUT
180s
Healthcheck timeout; relevant to cold runtime imports only for readiness healthchecks
OVRTX_NUM_SENSOR_UPDATES
OVRTX default
Raise for higher quality final renders
WU_NVCF_GLOBAL_MAX_CONCURRENT_REQUESTS
1 in overlay
Limits concurrent OVRTX render requests from the main service
Output Format
When handing control back to the user, report:
SERVICE_URL / DOCS_URL: usually http://localhost:8001 and /docs
COMPOSE_FILE: the file or files used
TEXTURE_BACKEND: active TA_TEXTURE_BACKEND, endpoint, and engine
IMAGE_GEN_BACKEND: active simple image-gen backend when relevant
SERVICE_HEALTH: healthy, starting, or unhealthy
SIDECAR_HEALTH: readiness for enabled local NIM sidecars
STEP1X_HEALTH: readiness, missing-runtime diagnostics, and runtime import
preflight state
OVRTX_HEALTH: render service readiness and gpu_initialized state
EXAMPLE_DOC: reproducible example path used for evidence, when applicable
LOGS / STOP: exact docker compose ... logs -f and down commands
Any missing credentials, port conflicts, GPU/toolkit blockers, runtime
mount issues, or backend limitations.
Troubleshooting
Step1X-Compatible Overlay Fails Before Startup
Check docker logs texture-gen-step1x first. Make sure
TEXTURE_STEP1X_HOST_RUNTIME points at an existing reviewed runtime directory
and that the container can read the runtime's edit script, Python executable,
auxiliary source trees, CUDA libraries, and model/cache paths.
Step1X Health Reports Missing Runtime Assets
Inspect the Step1X health payload. Missing edit_texture.py, model paths,
Material Anything assets, or required executables make ready=false. A
libnvrtc.so.12 or CuPy/NVRTC error usually means
TEXTURE_STEP1X_LD_LIBRARY_PATH does not match the mounted runtime layout. Use
fake-runner smoke only for wiring.
Texture Agent Cannot Reach Step1X
The overlay must use the Docker DNS endpoint from inside the service:
Do not set it to http://localhost:8018 inside Compose. localhost would
resolve to the Texture Agent container itself.
Step1X Output Paths Are Not Visible To Texture Agent
Use the overlay's shared session volume. Avoid host-only paths in API
responses unless the same path is mounted into every container that needs it.
The overlay mounts /var/texture-agent/sessions into both Texture Agent and
Step1X for this reason.
Inspect Individual Container Logs
Use individual container logs when the aggregate Compose logs are too noisy:
for c in texture-agent-service texture-gen-step1x ovrtx-rendering-api image-gen-nim llm-nim; do docker logs "$c"; done
OVRTX Is Healthy But Renders Look Too Noisy
Raise OVRTX_NUM_SENSOR_UPDATES before collecting shareable evidence when the
default is too noisy for the validation you need.
image-gen-nim Reports Free GPUs: <None>
NIM's profile selector considers a GPU occupied if any process holds VRAM on
it. Pin the sidecar to a truly idle GPU by editing both NVIDIA_VISIBLE_DEVICES
and device_ids in apps/texture_agent_service/docker-compose.multi-gpu.yml.
When the service is routed to image-gen-nim, expect
TA_IMAGE_GEN_BACKEND=openai,
TA_IMAGE_GEN_BASE_URL=http://image-gen-nim:8000/v1, and
TA_IMAGE_GEN_API_KEY=not-used.
Slow First Request After Restart
Local NIM sidecars and operator-mounted Step1X-compatible runtimes may warm
model weights on first start. Persist cache volumes for repeated development
runs and check sidecar logs before treating the deployment as broken.
