Instructions to use SidXXD/f-80-b_diff_13726 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use SidXXD/f-80-b_diff_13726 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("SidXXD/f-80-b_diff_13726", dtype=torch.bfloat16, device_map="cuda") prompt = "photo of a <v1*> person" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
End of training
Browse files- <v1*>.bin +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_0_VAE_Encoder.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_10_UpBLock.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_11_Conv_out.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_1_Conv_in.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_2_DownBLock.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_3_DownBLock.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_4_DownBLock.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_5_DownBLock.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_6_MidBlock.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_7_UpBLock.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_8_UpBLock.pt +1 -1
- All_layer_embeds_SD_v1_5/Embeds_layer_9_UpBLock.pt +1 -1
- logs/custom-diffusion/1730671930.0659115/events.out.tfevents.1730671930.cudahpc06.1261875.1 +3 -0
- logs/custom-diffusion/1730671930.067931/hparams.yml +58 -0
- logs/custom-diffusion/events.out.tfevents.1730671930.cudahpc06.1261875.0 +3 -0
- pytorch_custom_diffusion_weights.bin +1 -1
<v1*>.bin
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logs/custom-diffusion/1730671930.067931/hparams.yml
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adam_beta1: 0.9
|
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adam_beta2: 0.999
|
| 3 |
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adam_epsilon: 1.0e-08
|
| 4 |
+
adam_weight_decay: 0.01
|
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allow_tf32: false
|
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+
attn_maps_path_name: attn_maps_color
|
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center_crop: false
|
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+
checkpointing_steps: 250
|
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+
checkpoints_total_limit: null
|
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class_data_dir: null
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class_prompt: null
|
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concepts_list: null
|
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+
dataloader_num_workers: 2
|
| 14 |
+
enable_xformers_memory_efficient_attention: false
|
| 15 |
+
freeze_model: crossattn_kv
|
| 16 |
+
gradient_accumulation_steps: 1
|
| 17 |
+
gradient_checkpointing: false
|
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+
hflip: true
|
| 19 |
+
hub_model_id: null
|
| 20 |
+
hub_token: null
|
| 21 |
+
initializer_token: ktn
|
| 22 |
+
instance_data_dir: /home/xide/miniconda3/code/data/CVPR_results/perturbed_image/adding_to_other_concepts/Our_EPS_8/f-80-b_diff_13726/f-80-b
|
| 23 |
+
instance_prompt: photo of a <v1*> person
|
| 24 |
+
learning_rate: 1.0e-05
|
| 25 |
+
local_rank: -1
|
| 26 |
+
logging_dir: logs
|
| 27 |
+
lr_scheduler: constant
|
| 28 |
+
lr_warmup_steps: 0
|
| 29 |
+
max_grad_norm: 1.0
|
| 30 |
+
max_train_steps: 250
|
| 31 |
+
mixed_precision: null
|
| 32 |
+
modifier_token: <v1*>
|
| 33 |
+
no_safe_serialization: true
|
| 34 |
+
noaug: false
|
| 35 |
+
num_class_images: 200
|
| 36 |
+
num_train_epochs: 1
|
| 37 |
+
num_validation_images: 2
|
| 38 |
+
output_dir: /home/xide/miniconda3/code/diffusers/examples/custom_diffusion/model/CVPR/Save_all_embeds_CVPR_paper/Embeds_Our_H_space_Loss_ldm_CD_Mid/EPS_8/f-80-b/f-80-b_diff_13726
|
| 39 |
+
pretrained_model_name_or_path: runwayml/stable-diffusion-v1-5
|
| 40 |
+
prior_generation_precision: null
|
| 41 |
+
prior_loss_weight: 0
|
| 42 |
+
push_to_hub: true
|
| 43 |
+
real_prior: false
|
| 44 |
+
report_to: tensorboard
|
| 45 |
+
resolution: 512
|
| 46 |
+
resume_from_checkpoint: null
|
| 47 |
+
revision: null
|
| 48 |
+
sample_batch_size: 4
|
| 49 |
+
scale_lr: true
|
| 50 |
+
seed: 42
|
| 51 |
+
set_grads_to_none: false
|
| 52 |
+
tokenizer_name: null
|
| 53 |
+
train_batch_size: 2
|
| 54 |
+
use_8bit_adam: false
|
| 55 |
+
validation_prompt: null
|
| 56 |
+
validation_steps: 50
|
| 57 |
+
variant: null
|
| 58 |
+
with_prior_preservation: false
|
logs/custom-diffusion/events.out.tfevents.1730671930.cudahpc06.1261875.0
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oid sha256:25bec06fa829d8348ba4b422007fbad4ea3e516c9e9619060ddbf59f0cb95d31
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size 20834
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pytorch_custom_diffusion_weights.bin
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