Instructions to use ostris/OpenFLUX.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ostris/OpenFLUX.1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ostris/OpenFLUX.1", 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
- Local Apps
- Draw Things
- DiffusionBee
Runtime error in deployment on Spaces
#15
by tript - opened
Receiving the following error when deploying on Gradio spaces
runtime error
Exit code: 1. Reason: alias, **kwargs)
File "/usr/local/lib/python3.10/site-packages/gradio/external.py", line 395, in from_model
interface = gradio.Interface(**kwargs)
File "/usr/local/lib/python3.10/site-packages/gradio/interface.py", line 532, in __init__
self.render_examples()
File "/usr/local/lib/python3.10/site-packages/gradio/interface.py", line 880, in render_examples
self.examples_handler = Examples(
File "/usr/local/lib/python3.10/site-packages/gradio/helpers.py", line 81, in create_examples
examples_obj.create()
File "/usr/local/lib/python3.10/site-packages/gradio/helpers.py", line 340, in create
self._start_caching()
File "/usr/local/lib/python3.10/site-packages/gradio/helpers.py", line 391, in _start_caching
client_utils.synchronize_async(self.cache)
File "/usr/local/lib/python3.10/site-packages/gradio_client/utils.py", line 855, in synchronize_async
return fsspec.asyn.sync(fsspec.asyn.get_loop(), func, *args, **kwargs) # type: ignore
File "/usr/local/lib/python3.10/site-packages/fsspec/asyn.py", line 103, in sync
raise return_result
File "/usr/local/lib/python3.10/site-packages/fsspec/asyn.py", line 56, in _runner
result[0] = await coro
File "/usr/local/lib/python3.10/site-packages/gradio/helpers.py", line 517, in cache
prediction = await Context.root_block.process_api(
File "/usr/local/lib/python3.10/site-packages/gradio/blocks.py", line 1945, in process_api
data = await self.postprocess_data(block_fn, result["prediction"], state)
File "/usr/local/lib/python3.10/site-packages/gradio/blocks.py", line 1768, in postprocess_data
prediction_value = block.postprocess(prediction_value)
File "/usr/local/lib/python3.10/site-packages/gradio/components/image.py", line 226, in postprocess
saved = image_utils.save_image(value, self.GRADIO_CACHE, self.format)
File "/usr/local/lib/python3.10/site-packages/gradio/image_utils.py", line 72, in save_image
raise ValueError(
ValueError: Cannot process this value as an Image, it is of type: <class 'tuple'>