Instructions to use fal/SeedVR2-7B-FlashPack with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use fal/SeedVR2-7B-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("fal/SeedVR2-7B-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 +0 -4
model_index.json
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"seedvr.models.dit.nadit",
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"NaDiT"
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],
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"embeds": [
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"seedvr.models.embeds",
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"PrecomputedEmbeddings"
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],
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"sampler": [
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"seedvr.common.diffusion.samplers.euler",
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"EulerSampler"
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"seedvr.models.dit.nadit",
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"NaDiT"
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],
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"sampler": [
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"seedvr.common.diffusion.samplers.euler",
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"EulerSampler"
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