IOPaint/inpaint/model/original_sd_configs/v2-inference-v.yaml
root 70af4845af new file: inpaint/__init__.py
new file:   inpaint/__main__.py
	new file:   inpaint/api.py
	new file:   inpaint/batch_processing.py
	new file:   inpaint/benchmark.py
	new file:   inpaint/cli.py
	new file:   inpaint/const.py
	new file:   inpaint/download.py
	new file:   inpaint/file_manager/__init__.py
	new file:   inpaint/file_manager/file_manager.py
	new file:   inpaint/file_manager/storage_backends.py
	new file:   inpaint/file_manager/utils.py
	new file:   inpaint/helper.py
	new file:   inpaint/installer.py
	new file:   inpaint/model/__init__.py
	new file:   inpaint/model/anytext/__init__.py
	new file:   inpaint/model/anytext/anytext_model.py
	new file:   inpaint/model/anytext/anytext_pipeline.py
	new file:   inpaint/model/anytext/anytext_sd15.yaml
	new file:   inpaint/model/anytext/cldm/__init__.py
	new file:   inpaint/model/anytext/cldm/cldm.py
	new file:   inpaint/model/anytext/cldm/ddim_hacked.py
	new file:   inpaint/model/anytext/cldm/embedding_manager.py
	new file:   inpaint/model/anytext/cldm/hack.py
	new file:   inpaint/model/anytext/cldm/model.py
	new file:   inpaint/model/anytext/cldm/recognizer.py
	new file:   inpaint/model/anytext/ldm/__init__.py
	new file:   inpaint/model/anytext/ldm/models/__init__.py
	new file:   inpaint/model/anytext/ldm/models/autoencoder.py
	new file:   inpaint/model/anytext/ldm/models/diffusion/__init__.py
	new file:   inpaint/model/anytext/ldm/models/diffusion/ddim.py
	new file:   inpaint/model/anytext/ldm/models/diffusion/ddpm.py
	new file:   inpaint/model/anytext/ldm/models/diffusion/dpm_solver/__init__.py
	new file:   inpaint/model/anytext/ldm/models/diffusion/dpm_solver/dpm_solver.py
	new file:   inpaint/model/anytext/ldm/models/diffusion/dpm_solver/sampler.py
	new file:   inpaint/model/anytext/ldm/models/diffusion/plms.py
	new file:   inpaint/model/anytext/ldm/models/diffusion/sampling_util.py
	new file:   inpaint/model/anytext/ldm/modules/__init__.py
	new file:   inpaint/model/anytext/ldm/modules/attention.py
	new file:   inpaint/model/anytext/ldm/modules/diffusionmodules/__init__.py
	new file:   inpaint/model/anytext/ldm/modules/diffusionmodules/model.py
	new file:   inpaint/model/anytext/ldm/modules/diffusionmodules/openaimodel.py
	new file:   inpaint/model/anytext/ldm/modules/diffusionmodules/upscaling.py
	new file:   inpaint/model/anytext/ldm/modules/diffusionmodules/util.py
	new file:   inpaint/model/anytext/ldm/modules/distributions/__init__.py
	new file:   inpaint/model/anytext/ldm/modules/distributions/distributions.py
	new file:   inpaint/model/anytext/ldm/modules/ema.py
	new file:   inpaint/model/anytext/ldm/modules/encoders/__init__.py
	new file:   inpaint/model/anytext/ldm/modules/encoders/modules.py
	new file:   inpaint/model/anytext/ldm/util.py
	new file:   inpaint/model/anytext/main.py
	new file:   inpaint/model/anytext/ocr_recog/RNN.py
	new file:   inpaint/model/anytext/ocr_recog/RecCTCHead.py
	new file:   inpaint/model/anytext/ocr_recog/RecModel.py
	new file:   inpaint/model/anytext/ocr_recog/RecMv1_enhance.py
	new file:   inpaint/model/anytext/ocr_recog/RecSVTR.py
	new file:   inpaint/model/anytext/ocr_recog/__init__.py
	new file:   inpaint/model/anytext/ocr_recog/common.py
	new file:   inpaint/model/anytext/ocr_recog/en_dict.txt
	new file:   inpaint/model/anytext/ocr_recog/ppocr_keys_v1.txt
	new file:   inpaint/model/anytext/utils.py
	new file:   inpaint/model/base.py
	new file:   inpaint/model/brushnet/__init__.py
	new file:   inpaint/model/brushnet/brushnet.py
	new file:   inpaint/model/brushnet/brushnet_unet_forward.py
	new file:   inpaint/model/brushnet/brushnet_wrapper.py
	new file:   inpaint/model/brushnet/pipeline_brushnet.py
	new file:   inpaint/model/brushnet/unet_2d_blocks.py
	new file:   inpaint/model/controlnet.py
	new file:   inpaint/model/ddim_sampler.py
	new file:   inpaint/model/fcf.py
	new file:   inpaint/model/helper/__init__.py
	new file:   inpaint/model/helper/controlnet_preprocess.py
	new file:   inpaint/model/helper/cpu_text_encoder.py
	new file:   inpaint/model/helper/g_diffuser_bot.py
	new file:   inpaint/model/instruct_pix2pix.py
	new file:   inpaint/model/kandinsky.py
	new file:   inpaint/model/lama.py
	new file:   inpaint/model/ldm.py
	new file:   inpaint/model/manga.py
	new file:   inpaint/model/mat.py
	new file:   inpaint/model/mi_gan.py
	new file:   inpaint/model/opencv2.py
	new file:   inpaint/model/original_sd_configs/__init__.py
	new file:   inpaint/model/original_sd_configs/sd_xl_base.yaml
	new file:   inpaint/model/original_sd_configs/sd_xl_refiner.yaml
	new file:   inpaint/model/original_sd_configs/v1-inference.yaml
	new file:   inpaint/model/original_sd_configs/v2-inference-v.yaml
	new file:   inpaint/model/paint_by_example.py
	new file:   inpaint/model/plms_sampler.py
	new file:   inpaint/model/power_paint/__init__.py
	new file:   inpaint/model/power_paint/pipeline_powerpaint.py
	new file:   inpaint/model/power_paint/power_paint.py
	new file:   inpaint/model/power_paint/power_paint_v2.py
	new file:   inpaint/model/power_paint/powerpaint_tokenizer.py
2024-08-20 21:17:33 +02:00

69 lines
1.8 KiB
YAML

model:
base_learning_rate: 1.0e-4
target: ldm.models.diffusion.ddpm.LatentDiffusion
params:
parameterization: "v"
linear_start: 0.00085
linear_end: 0.0120
num_timesteps_cond: 1
log_every_t: 200
timesteps: 1000
first_stage_key: "jpg"
cond_stage_key: "txt"
image_size: 64
channels: 4
cond_stage_trainable: false
conditioning_key: crossattn
monitor: val/loss_simple_ema
scale_factor: 0.18215
use_ema: False # we set this to false because this is an inference only config
unet_config:
target: ldm.modules.diffusionmodules.openaimodel.UNetModel
params:
use_checkpoint: True
use_fp16: True
image_size: 32 # unused
in_channels: 4
out_channels: 4
model_channels: 320
attention_resolutions: [ 4, 2, 1 ]
num_res_blocks: 2
channel_mult: [ 1, 2, 4, 4 ]
num_head_channels: 64 # need to fix for flash-attn
use_spatial_transformer: True
use_linear_in_transformer: True
transformer_depth: 1
context_dim: 1024
legacy: False
first_stage_config:
target: ldm.models.autoencoder.AutoencoderKL
params:
embed_dim: 4
monitor: val/rec_loss
ddconfig:
#attn_type: "vanilla-xformers"
double_z: true
z_channels: 4
resolution: 256
in_channels: 3
out_ch: 3
ch: 128
ch_mult:
- 1
- 2
- 4
- 4
num_res_blocks: 2
attn_resolutions: []
dropout: 0.0
lossconfig:
target: torch.nn.Identity
cond_stage_config:
target: ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
params:
freeze: True
layer: "penultimate"