archived: auto-save before deletion

generate.py

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+import torch
+from diffusers import FluxPipeline
+
+pipe = FluxPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", torch_dtype=torch.bfloat16)
+pipe.enable_model_cpu_offload() #save some VRAM by offloading the model to CPU. Remove this if you have enough GPU power
+
+prompt = "A cat holding a sign that says hello world"
+image = pipe(
+    prompt,
+    height=1024,
+    width=1024,
+    guidance_scale=3.5,
+    num_inference_steps=50,
+    max_sequence_length=512,
+    generator=torch.Generator("cpu").manual_seed(0)
+).images[0]
+image.save("flux-dev.png")

model_index.json

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+{
+    "_class_name": "GeneVisPipeline",
+    "_diffusers_version": "0.30.0.dev0",
+    "scheduler": [
+        "diffusers",
+        "FlowMatchEulerDiscreteScheduler"
+    ],
+    "text_encoder": [
+        "transformers",
+        "CLIPTextModel"
+    ],
+    "text_encoder_2": [
+        "transformers",
+        "T5EncoderModel"
+    ],
+    "tokenizer": [
+        "transformers",
+        "CLIPTokenizer"
+    ],
+    "tokenizer_2": [
+        "transformers",
+        "T5TokenizerFast"
+    ],
+    "transformer": [
+        "diffusers",
+        "GeneVisTransformer2DModel"
+    ],
+    "vae": [
+        "diffusers",
+        "AutoencoderKL"
+    ]
+}

test.py

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+from diffusers import DiffusionPipeline
+
+pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev")
+
+prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
+image = pipe(prompt).images[0]