Instructions to use blanchon/Qwen-Image-Edit-2509-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use blanchon/Qwen-Image-Edit-2509-FlashPack with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("blanchon/Qwen-Image-Edit-2509-FlashPack", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Update model_index.json
Browse files- model_index.json +3 -3
model_index.json
CHANGED
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@@ -10,7 +10,7 @@
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"FlowMatchEulerDiscreteScheduler"
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],
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"text_encoder": [
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"
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"FlashPackQwen2_5_VLForConditionalGeneration"
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],
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"tokenizer": [
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@@ -18,11 +18,11 @@
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"Qwen2Tokenizer"
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],
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"transformer": [
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"
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"FlashPackQwenImageTransformer2DModel"
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],
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"vae": [
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"
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"FlashPackAutoencoderKLQwenImage"
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]
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}
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"FlowMatchEulerDiscreteScheduler"
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],
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"text_encoder": [
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+
"qwen_flashpack_custom",
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"FlashPackQwen2_5_VLForConditionalGeneration"
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],
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"tokenizer": [
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"Qwen2Tokenizer"
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],
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"transformer": [
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+
"qwen_flashpack_custom",
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"FlashPackQwenImageTransformer2DModel"
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],
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"vae": [
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+
"qwen_flashpack_custom",
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"FlashPackAutoencoderKLQwenImage"
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]
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}
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