gokaygokay commited on
Commit
96a99df
·
verified ·
1 Parent(s): d1856b7

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -281,13 +281,13 @@ if __name__ == "__main__":
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  huggingface_token = os.getenv("HUGGINGFACE_TOKEN")
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  dtype = torch.bfloat16
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- file_url = "https://huggingface.co/gokaygokay/flux-game/blob/main/gokaygokay_00001_.safetensors"
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  file_url = file_url.replace("/resolve/main/", "/blob/main/").replace("?download=true", "")
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  single_file_base_model = "camenduru/FLUX.1-dev-diffusers"
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  quantization_config_tf = BitsAndBytesConfigTF(load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_use_double_quant=True, bnb_4bit_compute_dtype=torch.bfloat16)
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  text_encoder_2 = T5EncoderModel.from_pretrained(single_file_base_model, subfolder="text_encoder_2", torch_dtype=dtype, config=single_file_base_model, quantization_config=quantization_config_tf, token=huggingface_token)
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  if ".gguf" in file_url:
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- transformer = transformer_model.from_single_file(file_url, subfolder="transformer", quantization_config=GGUFQuantizationConfig(compute_dtype=dtype), torch_dtype=dtype, config=single_file_base_model)
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  else:
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  quantization_config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_use_double_quant=True, bnb_4bit_compute_dtype=torch.bfloat16, token=huggingface_token)
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  transformer = FluxTransformer2DModel.from_single_file(file_url, subfolder="transformer", torch_dtype=dtype, config=single_file_base_model, quantization_config=quantization_config, token=huggingface_token)
 
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  huggingface_token = os.getenv("HUGGINGFACE_TOKEN")
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  dtype = torch.bfloat16
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+ file_url = "https://huggingface.co/gokaygokay/flux-game/blob/main/gokaygokay_00001_.q5_1.gguf"
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  file_url = file_url.replace("/resolve/main/", "/blob/main/").replace("?download=true", "")
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  single_file_base_model = "camenduru/FLUX.1-dev-diffusers"
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  quantization_config_tf = BitsAndBytesConfigTF(load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_use_double_quant=True, bnb_4bit_compute_dtype=torch.bfloat16)
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  text_encoder_2 = T5EncoderModel.from_pretrained(single_file_base_model, subfolder="text_encoder_2", torch_dtype=dtype, config=single_file_base_model, quantization_config=quantization_config_tf, token=huggingface_token)
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  if ".gguf" in file_url:
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+ transformer = FluxTransformer2DModel.from_single_file(file_url, subfolder="transformer", quantization_config=GGUFQuantizationConfig(compute_dtype=dtype), torch_dtype=dtype, config=single_file_base_model)
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  else:
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  quantization_config = BitsAndBytesConfig(load_in_4bit=True, bnb_4bit_quant_type="nf4", bnb_4bit_use_double_quant=True, bnb_4bit_compute_dtype=torch.bfloat16, token=huggingface_token)
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  transformer = FluxTransformer2DModel.from_single_file(file_url, subfolder="transformer", torch_dtype=dtype, config=single_file_base_model, quantization_config=quantization_config, token=huggingface_token)