Instructions to use rand0nmr/SFWan2.2-T2V-A14B-Diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rand0nmr/SFWan2.2-T2V-A14B-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("rand0nmr/SFWan2.2-T2V-A14B-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
Update scheduler/scheduler_config.json
Browse files
scheduler/scheduler_config.json
CHANGED
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@@ -2,7 +2,7 @@
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"_class_name": "SelfForcingFlowMatchScheduler",
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"_diffusers_version": "0.33.0.dev0",
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"num_inference_steps": 1000,
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-
"shift":
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"sigma_min": 0.0,
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"extra_one_step": true,
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"training": true
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"_class_name": "SelfForcingFlowMatchScheduler",
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"_diffusers_version": "0.33.0.dev0",
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"num_inference_steps": 1000,
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+
"shift": 12.0,
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"sigma_min": 0.0,
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"extra_one_step": true,
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"training": true
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