Instructions to use cbensimon/Wan2.2-I2V-A14B-bf16-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use cbensimon/Wan2.2-I2V-A14B-bf16-Diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("cbensimon/Wan2.2-I2V-A14B-bf16-Diffusers", 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
Create README.md
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by raushancs14 - opened
README.md
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---
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license: ofl-1.1
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datasets:
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- angrygiraffe/claude-opus-4.6-4.7-reasoning-8.7k
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language:
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- hi
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- en
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metrics:
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- AIML-TUDA/VerifiableRewardsForScalableLogicalReasoning
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base_model:
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- Jiunsong/supergemma4-26b-uncensored-gguf-v2
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new_version: HauhauCS/Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive
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pipeline_tag: text-to-speech
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library_name: adapter-transformers
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tags:
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- art
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---
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hello india to kaise ho?
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