Spaces:
Running
on
Zero
Running
on
Zero
major changes : upgrade model to v0.2.0
Browse files
app.py
CHANGED
@@ -24,8 +24,8 @@ good_vae = AutoencoderKL.from_pretrained("black-forest-labs/FLUX.1-dev", subfold
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pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=dtype, vae=taef1).to(device)
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# PONIX mode load
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pipe.load_lora_weights('cwhuh/ponix-generator-v0.
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embedding_path = hf_hub_download(repo_id='cwhuh/ponix-generator-v0.
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state_dict = load_file(embedding_path)
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pipe.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>", "<s2>"], text_encoder=pipe.text_encoder, tokenizer=pipe.tokenizer)
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pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=dtype, vae=taef1).to(device)
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# PONIX mode load
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+
pipe.load_lora_weights('cwhuh/ponix-generator-v0.2.0', weight_name='pytorch_lora_weights.safetensors')
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embedding_path = hf_hub_download(repo_id='cwhuh/ponix-generator-v0.2.0', filename='./ponix-generator-v0.2.0_emb.safetensors', repo_type="model")
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state_dict = load_file(embedding_path)
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pipe.load_textual_inversion(state_dict["clip_l"], token=["<s0>", "<s1>", "<s2>"], text_encoder=pipe.text_encoder, tokenizer=pipe.tokenizer)
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