Initial commit with folder contents

pyproject.toml

@@ -32,8 +32,8 @@ repository = "madebyollin/taef1"
 revision = "2d552378e58c9c94201075708d7de4e1163b2689"
 
 [[tool.edge-maxxing.models]]
-repository = "Chrissy1/extra0well0"
-revision = "09350c769b001d6c49620472835de41dd18258dd"
+repository = "Chrissy1/extra0manQ0"
+revision = "c0db1e82d89825a4664ad873f20d261cbe46e737"
 
 
 [project.scripts]

src/pipeline.py

@@ -48,8 +48,8 @@ def empty_cache():
     torch.cuda.reset_peak_memory_stats()
 
 def load_pipeline() -> Pipeline:
-    text_encoder_2 = T5EncoderModel.from_pretrained("Chrissy1/extra0well0", revision = "09350c769b001d6c49620472835de41dd18258dd", subfolder="text_encoder_2",torch_dtype=torch.bfloat16).to(memory_format=torch.channels_last)
-    path = os.path.join(HF_HUB_CACHE, "models--Chrissy1--extra0well0/snapshots/09350c769b001d6c49620472835de41dd18258dd/transformer")
+    text_encoder_2 = T5EncoderModel.from_pretrained("Chrissy1/extra0manQ0", revision = "c0db1e82d89825a4664ad873f20d261cbe46e737", subfolder="text_encoder_2",torch_dtype=torch.bfloat16).to(memory_format=torch.channels_last)
+    path = os.path.join(HF_HUB_CACHE, "models--Chrissy1--extra0manQ0/snapshots/c0db1e82d89825a4664ad873f20d261cbe46e737/transformer")
     transformer = FluxTransformer2DModel.from_pretrained(path, torch_dtype=torch.bfloat16, use_safetensors=False).to(memory_format=torch.channels_last)
     quantize_(AutoencoderKL.from_pretrained(ckpt_id,revision=ckpt_revision, subfolder="vae", local_files_only=True, torch_dtype=torch.bfloat16,), int8_weight_only())
     pipeline = FluxPipeline.from_pretrained(ckpt_id, revision=ckpt_revision, transformer=transformer, text_encoder_2=text_encoder_2, torch_dtype=torch.bfloat16,)