Instructions to use manghwanimohit/Video-outpaint-resources with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use manghwanimohit/Video-outpaint-resources with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("manghwanimohit/Video-outpaint-resources", 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
Upload 6 files
Browse files
diffusion_pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 334707217
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diffusion_pytorch_model.fp16.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b7643b3e40b9f128eda5fe174fea73c3ef3903562651fb344a79439709c2e503
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size 167405651
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diffusion_pytorch_model.fp16.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:4fbcf0ebe55a0984f5a5e00d8c4521d52359af7229bb4d81890039d2aa16dd7c
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size 167335342
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diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a2b5134f4dbc140d9c11f11cba3233099e00af40f262f136c691fb7d38d2194c
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size 334643276
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scheduler_scheduler_config.json
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{
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"_class_name": "PNDMScheduler",
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"_diffusers_version": "0.6.0",
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"beta_end": 0.012,
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"beta_schedule": "scaled_linear",
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"beta_start": 0.00085,
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"num_train_timesteps": 1000,
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"set_alpha_to_one": false,
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"skip_prk_steps": true,
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"steps_offset": 1,
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"trained_betas": null,
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"clip_sample": false
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}
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vae_config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.6.0",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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512
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],
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"down_block_types": [
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D",
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"DownEncoderBlock2D"
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],
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"in_channels": 3,
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"latent_channels": 4,
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"layers_per_block": 2,
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"norm_num_groups": 32,
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"out_channels": 3,
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"sample_size": 512,
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"up_block_types": [
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D",
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"UpDecoderBlock2D"
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]
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}
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