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Trying to apply a lora to image in FluxImg2ImgPipeline but keep receiving the following error: RuntimeError: cuDNN Frontend error: [cudnn_frontend] Error: No execution plans support the graph.
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/root/models/flux_dev_img2img_studio_ghibli_lora.py", line 107, in generate_image
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 116, in decorate_context
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/diffusers/pipelines/flux/pipeline_flux_img2img.py", line 726, in __call__
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/diffusers/pipelines/flux/pipeline_flux_img2img.py", line 371, in encode_prompt
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/diffusers/pipelines/flux/pipeline_flux_img2img.py", line 306, in _get_clip_prompt_embeds
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 1050, in forward
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 954, in forward
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 877, in forward
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 608, in forward
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1736, in _wrapped_call_impl
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1747, in _call_impl
File "<ta-01JB0N6VM674G3XBP73NDJQYJP>:/usr/local/lib/python3.10/site-packages/transformers/models/clip/modeling_clip.py", line 540, in forward
RuntimeError: cuDNN Frontend error: [cudnn_frontend] Error: No execution plans support the graph.
GET /result -> 500 Internal Server Error (duration: 100.7 ms, execution: 0.0 ms)
you can't use to.("cuda") using macs, that's only available for people that use a NVIDIA gpu.
Edit: I read this afterwards: Deployed this on Modal, don't really know what modal is, but if it is a VM or cloud service you're using, you need to post the env of that and not your local one.
Describe the bug
Trying to apply a lora to image in FluxImg2ImgPipeline but keep receiving the following error: RuntimeError: cuDNN Frontend error: [cudnn_frontend] Error: No execution plans support the graph.
Reproduction
Deployed this on Modal
Using an image to replicate environment: flux_dev_image = (
Image.debian_slim()
.apt_install(
"git"
)
.run_commands(
f"pip install git+https://github.com/huggingface/diffusers.git",
f"pip install torch==2.1.0"
)
.pip_install(
"accelerate",
"huggingface_hub",
"Pillow",
"Requests",
"sentencepiece",
"transformers",
"xformers",
"redis",
"peft"
)
)
def init(self):
self.pipeline = None
def load(self):
model_path = "black-forest-labs/FLUX.1-dev"
self.pipeline = FluxImg2ImgPipeline.from_pretrained(
model_path,
torch_dtype=torch.bfloat16,
token=os.environ["HF_TOKEN"]
).to("cuda")
self.pipeline.load_lora_weights("dvyio/flux-lora-airbrush-art")
Logs
System Info
diffusers
version: 0.26.3Who can help?
@sayakpaul @DN6
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