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2de2185
Update app.py
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app.py
CHANGED
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@@ -3,13 +3,14 @@ import numpy as np
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import random
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import spaces
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import torch
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from diffusers import DiffusionPipeline
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from transformers import CLIPTextModel, CLIPTokenizer,T5EncoderModel, T5TokenizerFast
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dtype = torch.bfloat16
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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-dev", torch_dtype=torch.bfloat16, revision="refs/pr/3").to(device)
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 2048
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import random
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import spaces
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import torch
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from diffusers import DiffusionPipeline, FlowMatchEulerDiscreteScheduler
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from transformers import CLIPTextModel, CLIPTokenizer,T5EncoderModel, T5TokenizerFast
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dtype = torch.bfloat16
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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-dev", torch_dtype=torch.bfloat16, revision="refs/pr/3").to(device)
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pipe.scheduler = FlowMatchEulerDiscreteScheduler.from_pretrained ("black-forest-labs/FLUX.1-dev", subfolder="scheduler", use_dynamic_shifting=True)
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MAX_SEED = np.iinfo(np.int32).max
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MAX_IMAGE_SIZE = 2048
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