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stable-diffusion-webui/docs/rtx5090-compatibility.md

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RTX 5090 Compatibility Patch Notes

Summary

This branch adds compatibility guards and dependency fixes so AUTOMATIC1111 WebUI can run with modern RTX 5090 + PyTorch nightly (cu128) while using CompVis Stable Diffusion repository layout.

Code Changes

1) Guard missing ATTENTION_MODES

  • File: modules/sd_hijack.py
  • Change: wrap assignment to BasicTransformerBlock.ATTENTION_MODES with hasattr(...).
  • Reason: some ldm variants do not define this attribute.

2) Guard missing use_linear on SpatialTransformer

  • File: modules/sd_hijack_unet.py
  • Change: replace direct self.use_linear access with:
    • use_linear = getattr(self, "use_linear", False)
  • Reason: CompVis transformer blocks may not expose use_linear.

3) Make depth class import optional

  • File: modules/processing.py
  • Change: LatentDepth2ImageDiffusion import wrapped in try/except ImportError.
  • Change: isinstance(...) check now guarded by LatentDepth2ImageDiffusion is not None.
  • Reason: class may not exist in all ldm implementations.

4) Make AddMiDaS import optional

  • File: modules/processing.py
  • Change: AddMiDaS import wrapped in try/except with a no-op fallback class.
  • Reason: ldm.data.util is absent in some CompVis repo states.

5) Make MiDaS module optional

  • File: modules/sd_models.py
  • Change: wrap import ldm.modules.midas as midas in try/except.
  • Change: enable_midas_autodownload() returns early when midas is None.
  • Reason: prevents startup crash when MiDaS module is unavailable.

6) Update default Stable Diffusion upstream for working clone path

  • File: modules/launch_utils.py
  • Change: STABLE_DIFFUSION_REPO default set to https://github.com/CompVis/stable-diffusion.git.
  • Change: default STABLE_DIFFUSION_COMMIT_HASH set to 21f890f9da3cfbeaba8e2ac3c425ee9e998d5229.
  • Reason: previous default URL may be unreachable in current environment.

Environment / Install Actions

  • Installed GitHub CLI (gh) in user path: ~/.local/bin/gh
  • Forked upstream: AUTOMATIC1111/stable-diffusion-webui -> PiercingXX/stable-diffusion-webui
  • Cloned into: /media/Working-Storage/GitHub/stable-diffusion-webui
  • Created branch: feat/rtx5090-compat

Python environment:

  • Python: 3.10.14
  • Torch: 2.12.0.dev20260310+cu128
  • CUDA available: True
  • GPU detected: NVIDIA GeForce RTX 5090

Installed dependencies:

  • requirements_versions.txt
  • clip (OpenAI CLIP zip, --no-build-isolation)
  • taming-transformers-rom1504
  • Additional runtime deps used by startup path (pytorch_lightning, kornia, diskcache, etc.)

Validation Performed

Runtime checks

  • torch.cuda.is_available() -> True
  • torch.cuda.get_device_name(0) -> NVIDIA GeForce RTX 5090

WebUI smoke startup

Command used for startup validation:

  • webui.py --skip-python-version-check --listen --server-name 0.0.0.0 --port 7860 --skip-load-model-at-start --no-download-sd-model

Observed in logs:

  • Running on local URL: http://0.0.0.0:7860
  • Startup time: 4.2s ...

HTTP response verified:

  • curl http://0.0.0.0:7860/ returned HTML.

Notes / Remaining Validation

  • Full text-to-image generation requires a model checkpoint to be present or fully downloaded.
  • This branch has been validated for startup/runtime compatibility and serving UI on RTX 5090 stack.