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README.md

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+---
+language:
+- en
+library_name: diffusers
+license: other
+license_name: flux-1-dev-non-commercial-license
+license_link: LICENSE.md
+---
+## Inference code
+
+```python
+from diffusers import FluxPipeline
+import torch
+
+pipeline = FluxPipeline.from_pretrained(
+    "aifeifei798/DarkIdol-flux-v1", torch_dtype=torch.bfloat16
+).to("cuda")
+image = pipeline(
+    prompt="the photo is a 18 yo jpop girl",
+    guidance_scale=3.5,
+    num_inference_steps=4,
+    height=880,
+    width=1184,
+    max_sequence_length=512,
+    generator=torch.manual_seed(0),
+).images[0]
+image.save("merged_flux.png")
+```
+
+## Documentation
+
+* https://huggingface.co/docs/diffusers/main/en/api/pipelines/flux
+* https://huggingface.co/docs/diffusers/main/en/api/models/flux_transformer

model_index.json

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+{
+  "_class_name": "FluxPipeline",
+  "_diffusers_version": "0.31.0",
+  "scheduler": [
+    "diffusers",
+    "FlowMatchEulerDiscreteScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "text_encoder_2": [
+    "transformers",
+    "T5EncoderModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "tokenizer_2": [
+    "transformers",
+    "T5TokenizerFast"
+  ],
+  "transformer": [
+    "diffusers",
+    "FluxTransformer2DModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
+}