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model_index.json

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+{
+  "_class_name": "pixcell.pipeline_pixcell.PixCellPipeline",
+  "_diffusers_version": "0.32.2",
+  "transformer": [
+    "PixCell-diffusers.pixcell_transformer_2d",
+    "PixCellTransformer2DModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ],
+  "scheduler": [
+    "diffusers",
+    "DPMSolverMultistepScheduler"
+  ]
+}

scheduler/scheduler_config.json

@@ -0,0 +1,30 @@
+{
+  "_class_name": "DPMSolverMultistepScheduler",
+  "_diffusers_version": "0.32.2",
+  "algorithm_type": "dpmsolver++",
+  "beta_end": 0.02,
+  "beta_schedule": "linear",
+  "beta_start": 0.0001,
+  "dynamic_thresholding_ratio": 0.995,
+  "euler_at_final": false,
+  "final_sigmas_type": "zero",
+  "flow_shift": 1.0,
+  "lambda_min_clipped": -Infinity,
+  "lower_order_final": true,
+  "num_train_timesteps": 1000,
+  "prediction_type": "epsilon",
+  "rescale_betas_zero_snr": false,
+  "sample_max_value": 1.0,
+  "solver_order": 2,
+  "solver_type": "midpoint",
+  "steps_offset": 0,
+  "thresholding": false,
+  "timestep_spacing": "linspace",
+  "trained_betas": null,
+  "use_beta_sigmas": false,
+  "use_exponential_sigmas": false,
+  "use_flow_sigmas": false,
+  "use_karras_sigmas": false,
+  "use_lu_lambdas": false,
+  "variance_type": null
+}

transformer/config.json

@@ -0,0 +1,31 @@
+{
+  "_class_name": "PixCellTransformer2DModel",
+  "_diffusers_version": "0.32.2",
+  "_name_or_path": "pixart_1024/transformer",
+  "activation_fn": "gelu-approximate",
+  "attention_bias": true,
+  "attention_head_dim": 72,
+  "attention_type": "default",
+  "caption_channels": 1536,
+  "caption_num_tokens": 16,
+  "cross_attention_dim": 1152,
+  "double_self_attention": false,
+  "dropout": 0.0,
+  "in_channels": 16,
+  "interpolation_scale": 2,
+  "norm_elementwise_affine": false,
+  "norm_eps": 1e-06,
+  "norm_num_groups": 32,
+  "norm_type": "ada_norm_single",
+  "num_attention_heads": 16,
+  "num_embeds_ada_norm": 1000,
+  "num_layers": 28,
+  "num_vector_embeds": null,
+  "only_cross_attention": false,
+  "out_channels": 32,
+  "patch_size": 2,
+  "sample_size": 128,
+  "upcast_attention": false,
+  "use_additional_conditions": false,
+  "use_linear_projection": false
+}

transformer/diffusion_pytorch_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1606e02717d2f77bcff64ef620ffde29ab25511cd28014abcc6498b8c4cc7738
+size 2432458344

vae/config.json

@@ -0,0 +1,38 @@
+{
+  "_class_name": "AutoencoderKL",
+  "_diffusers_version": "0.32.2",
+  "_name_or_path": "stabilityai/stable-diffusion-3.5-large",
+  "act_fn": "silu",
+  "block_out_channels": [
+    128,
+    256,
+    512,
+    512
+  ],
+  "down_block_types": [
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D",
+    "DownEncoderBlock2D"
+  ],
+  "force_upcast": true,
+  "in_channels": 3,
+  "latent_channels": 16,
+  "latents_mean": null,
+  "latents_std": null,
+  "layers_per_block": 2,
+  "mid_block_add_attention": true,
+  "norm_num_groups": 32,
+  "out_channels": 3,
+  "sample_size": 1024,
+  "scaling_factor": 1.5305,
+  "shift_factor": 0.0609,
+  "up_block_types": [
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D",
+    "UpDecoderBlock2D"
+  ],
+  "use_post_quant_conv": false,
+  "use_quant_conv": false
+}