getting stuck on CLIP Text Encode for default LoRA
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
- Issue type
- Bug
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- machine-learning
- Domain
- machine-learning
Research direction
Start by reproducing the default LoRA workflow and observe whether it remains at CLIP Text Encode (Prompt). Compare the terminal output with the reported ROCm status, then identify whether the failure is specific to the text encoder or the AMD GPU environment. Done means the workflow progresses past that node or the cause and required diagnostic details are documented.
Written by the indexing model from the issue text.
Description
When I try to run LoRA the GUI shows Total 0% Current node: CLIP Text Encode (Prompt) and the terminal shows
got prompt
model weight dtype torch.float16, manual cast: None
model_type EPS
Using split attention in VAE
Using split attention in VAE
VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16
CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16
Requested to load SD1ClipModel
and rocm-smi shows:
rocm-smi
WARNING: AMD GPU device(s) is/are in a low-power state. Check power control/runtime_status
========================================== ROCm System Management Interface ==========================================
==================================================== Concise Info ====================================================
Device Node IDs Temp Power Partitions SCLK MCLK Fan Perf PwrCap VRAM% GPU%
(DID, GUID) (Edge) (Avg) (Mem, Compute, ID)
======================================================================================================================
0 1 0x7550, 62108 49.0°C 109.0W N/A, N/A, 0 3408Mhz 772Mhz 14.9% auto 317.0W 10% 100%
======================================================================================================================
================================================ End of ROCm SMI Log =================================================
- Dominant language
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- Merged PRs (30d)
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