Instructions to use Runware/hidream-i1-dev with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Runware/hidream-i1-dev with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Runware/hidream-i1-dev", 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
- Local Apps
- Draw Things
- DiffusionBee
Add transformer config to model index (diffusers)
Browse files- model_index.json +5 -1
model_index.json
CHANGED
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@@ -37,8 +37,12 @@
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"transformers",
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"PreTrainedTokenizerFast"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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"transformers",
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"PreTrainedTokenizerFast"
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],
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"transformer": [
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"diffusers",
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"HiDreamImageTransformer2DModel"
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],
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"vae": [
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"diffusers",
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"AutoencoderKL"
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]
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}
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