Instructions to use abdohelmy/CV_problem with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use abdohelmy/CV_problem with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("abdohelmy/CV_problem", 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
Upload StableDiffusionPipeline
Browse files- unet/config.json +1 -1
- unet/diffusion_pytorch_model.safetensors +1 -1
- vae/config.json +1 -1
unet/config.json
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/root/.cache/huggingface/hub/models--
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.27.2",
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+
"_name_or_path": "/root/.cache/huggingface/hub/models--abdohelmy--CV_problem/snapshots/d33207084bb969f9c003487edcb3c1c9883dd5ee/unet",
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"act_fn": "silu",
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"addition_embed_type": null,
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"addition_embed_type_num_heads": 64,
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unet/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1719125992
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version https://git-lfs.github.com/spec/v1
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oid sha256:a6abb558bebce87477a85f556372c93977f2815943bb28025dc953de169ba0ff
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size 1719125992
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vae/config.json
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/root/.cache/huggingface/hub/models--
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"act_fn": "silu",
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"block_out_channels": [
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128,
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{
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"_class_name": "AutoencoderKL",
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"_diffusers_version": "0.27.2",
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"_name_or_path": "/root/.cache/huggingface/hub/models--abdohelmy--CV_problem/snapshots/d33207084bb969f9c003487edcb3c1c9883dd5ee/vae",
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"act_fn": "silu",
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"block_out_channels": [
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128,
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