Instructions to use diffusers-internal-dev/private-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusers-internal-dev/private-model with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusers-internal-dev/private-model", 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
update
Browse files- transformer/config.json +1 -1
transformer/config.json
CHANGED
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@@ -4,8 +4,8 @@
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"_name_or_path": "diffusers/diffusers_sd3",
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"attention_head_dim": 64,
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"caption_projection_dim": 1152,
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-
"cross_attention_dim": 4096,
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"in_channels": 16,
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"num_attention_heads": 18,
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"num_layers": 18,
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"out_channels": 16,
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"_name_or_path": "diffusers/diffusers_sd3",
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"attention_head_dim": 64,
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"caption_projection_dim": 1152,
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"in_channels": 16,
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"joint_attention_dim": 4096,
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"num_attention_heads": 18,
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"num_layers": 18,
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"out_channels": 16,
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