Instructions to use femboysLover/tf2sim_diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use femboysLover/tf2sim_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("femboysLover/tf2sim_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
File size: 1,075 Bytes
a78ad78 4a8421a a78ad78 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | {
"_class_name": "UNetMotionModel",
"_diffusers_version": "0.28.2",
"_name_or_path": "femboysLover/tf2sim_diffusers",
"act_fn": "silu",
"addition_embed_type": null,
"addition_time_embed_dim": null,
"block_out_channels": [
64,
128,
256
],
"cross_attention_dim": 100,
"down_block_types": [
"DownBlockMotion",
"DownBlockMotion",
"CrossAttnDownBlockMotion"
],
"downsample_padding": 1,
"encoder_hid_dim": null,
"encoder_hid_dim_type": null,
"in_channels": 1,
"layers_per_block": 1,
"mid_block_scale_factor": 1,
"motion_max_seq_length": 20,
"motion_num_attention_heads": 8,
"norm_eps": 1e-05,
"norm_num_groups": 32,
"num_attention_heads": 8,
"out_channels": 1,
"projection_class_embeddings_input_dim": null,
"reverse_transformer_layers_per_block": null,
"sample_size": 32,
"time_cond_proj_dim": null,
"transformer_layers_per_block": 1,
"up_block_types": [
"UpBlockMotion",
"UpBlockMotion",
"CrossAttnUpBlockMotion"
],
"use_linear_projection": false,
"use_motion_mid_block": true
}
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