Yaron Koresh commited on
Commit
1027190
·
verified ·
1 Parent(s): edf8bb9

Update app.py

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Files changed (1) hide show
  1. app.py +3 -4
app.py CHANGED
@@ -10,15 +10,14 @@ import numpy as np
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  from lxml.html import fromstring
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  from pathos.threading import ThreadPool as Pool
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  from diffusers import DiffusionPipeline
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- from diffusers.pipelines.stable_diffusion.pipeline_flax_stable_diffusion import FlaxStableDiffusionPipeline as FluxPipeline
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  #from diffusers.utils import export_to_gif
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  #from huggingface_hub import hf_hub_download
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  #from safetensors.torch import load_file
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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- dtype = torch.bfloat16
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- pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=dtype, token=os.getenv("hf_token")).to(device)
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- pipe_flx = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=dtype, token=os.getenv("hf_token")).to(device)
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  def translate(text,lang):
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  from lxml.html import fromstring
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  from pathos.threading import ThreadPool as Pool
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  from diffusers import DiffusionPipeline
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+ from diffusers.pipelines.stable_diffusion.pipeline_flax_stable_diffusion import FlaxStableDiffusionPipeline as Flx
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  #from diffusers.utils import export_to_gif
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  #from huggingface_hub import hf_hub_download
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  #from safetensors.torch import load_file
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  device = "cuda" if torch.cuda.is_available() else "cpu"
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+ pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.bfloat16, token=os.getenv("hf_token")).to(device)
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+ pipe_flx = Flx.from_pretrained("black-forest-labs/FLUX.1-schnell", torch_dtype=torch.float16, token=os.getenv("hf_token")).to(device)
 
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  def translate(text,lang):
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