Instructions to use bghira/pseudo-flex-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bghira/pseudo-flex-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bghira/pseudo-flex-base", 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 Settings
- Draw Things
- DiffusionBee
Safetensors: revert to 3275
Browse files
unet/config.json
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@@ -1,7 +1,7 @@
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{
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"_class_name": "UNet2DConditionModel",
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"_diffusers_version": "0.17.0.dev0",
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"_name_or_path": "/notebooks/datasets/checkpoint-
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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": "0.17.0.dev0",
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"_name_or_path": "/notebooks/datasets/checkpoint-3275-clearMJDSbegins/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.bin → diffusion_pytorch_model.safetensors}
RENAMED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:78b258608a6ae76cd0fb93c8b19a6e406e007594c7ef55fc39c64c93bf64c70e
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size 3463726504
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